51 to 75 of 160 Experimental Design Jobs in England

interface with qubits. This role is a unique chance to work at the bleeding edge of technology development where you will investigate and optimise the performance of innovative circuitsand experimental quantum dot devicesto tackle the engineering challenge of implementing a large-scale quantum computer in silicon. This is a rare and exciting opportunity to be an early employee at … will suit someone with a strong background in the following areas and the ability to flexibly apply and combine them on a daily basis: practical electronics test and measurement, experimental design, statistics and data analysis, analogue and mixed-signal circuit operation principles, and CMOS device physics and process. No background in quantum physics is required. Our Team … integrated circuit designs through full product test lifecycle: pre-silicon test planning; bring-up and optimisation; inter-die variability studies; and product support (where required) High-quality documentation of experimental design, measurement data, analysis, and conclusions at each step Develop efficient and automated measurement and analysis routines to provide rapid and standardised feedback on new ICdesigns, driving More ❯

technologies. In this role, the Lead Scientist will represent bioinformatics in cross-functional programs: defining bioinformatics milestones and requirements supporting data analysis developing novel tools and pipelines contributing to experimental design and project strategy In addition to strong bioinformatics and programming skills, this position requires a high degree of initiative and cross-team collaboration, as well as … such as Nextflow, WDL, as well as familiarity with containerization tools, such as Docker, and similar technologies. Responsibilities: Participate in R&D projects across multiple sites for the design, development and validation of new sequencing products Represent bioinformatics in a product development team, and be able to establish work priorities and communicate/delegate tasks to other sub … development of automated quality assessment pipelines Contribute to the planning and execution of a comprehensive strategy for assessing quality of data from novel technologies Analyze, integrate, model and interpret experimental data Support and troubleshoot existing processes and provide guidance on potential enhancements Communicate and collaborate with scientific, bioinformatics, engineering, and software teams across multiple sites to design More ❯

an opportunity to push the boundaries of what causal modelling can achieve in complex, high-dimensional, and noisy real-world systems, and to see your work tested directly in experimental biology. Your responsibilities Collaborate with domain experts to translate biological hypotheses into formal causal modelling problems. Design and implement causal learning approaches that capture regulatory logic, cell … fate trajectories, and intervention effects from diverse biological data, including single-cell perturbation experiments. Develop models that go beyond correlation, focusing on generalisation, counterfactual prediction, and experimental design. Collaborate with experimental teams to design and validate computational hypotheses via iterative strategies that inform or guide the next experiment (lab-in-the-loop). Evaluate models not More ❯

will be responsible for driving world class manufacturing automation solutions to scale our operations globally. This will involve innovating automation solutions for assembly processes, explore cutting edge technologies, design equipment and fixtures in 3D CAD. Key job responsibilities - Develop advanced simulations and data analyses to optimize automation system configuration options to meet end-to-end system goals, integrating … is a unique opportunity to be involved in a wide range of automation projects right from the start. You will interface with multiple internal Amazon R&D and design teams as well as the world's leading automation strategic partners who have the technology and resources to meet Amazon's growth needs on a global scale. You will … controls engineering experience - - Experience with complex machine learning models of physical systems, commissioning of industrial control software - Proficiency with machine and process reliability, integration of human and automated processes, experimental design, statistical analysis - Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build More ❯

drug discovery, target discovery and nucleic acid therapy development. You will apply a wide range of data science and machine learning techniques - including life science foundation models, generative design, uncertainty-aware decision making, and multi-modal data analysis. Responsibilities Perform data integration, mining, and analytics across chemical, biological, and multi-omics datasets to support target identification, hit discovery … and compound optimisation. Design and develop robust machine learning models. Collaborate with platform engineers to integrate ML … models into production-grade pipelines, APIs and cloud-based services. Building high-quality, well-tested and maintainable code Provide analytical and statistical rigour to empower better decision making during experimental design. Act as a subject expert to leverage data driven science working collaboratively with chemists, biologists, platform engineers, cheminformaticians, computational biologists, and data scientists. What we are looking for More ❯

between technical AI capabilities and practical business applications, using bespoke coding and modern low-code/no-code automation platforms in an ever changing marketing landscape. KEY RESPONSIBILITIES Design and build intelligent workflow automation solutions for media and marketing teams using AI-powered tools and frameworks Develop POCs that demonstrate how AI can streamline content creation, campaign management … applicable Create API integrations between marketing tools, CRM systems, and content management platforms using MCP or alternative protocols. Perform statistical analysis including A/B testing, causal inference, and experimental design to build the business case of POC's Work closely with data engineers, media consultants and clients to ensure seamless integration of your solution to create More ❯

on-prem clusters). Ideal: Kubernetes and Docker experience for scalable, reproducible workflows. Working at Lila Sciences, you would have access to advanced technology in the areas of: AI experimental design and simulation. Automated liquid handling and instrumentation. More About Flagship Pioneering Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the More ❯

directly with business stakeholders to translate between data and business needs - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of design of experiments and statistical analysis of results. Additional experience with theory and practice of information retrieval, data science, machine learning and data mining. PREFERRED QUALIFICATIONS - Experience managing, analyzing and More ❯

scaffolding, prompting. Broad experience in empirical research methodologies, potentially in fields outside of machine learning, and statistical analysis (T-shaped: some deep knowledge, lots of shallow knowledge, in e.g. experimental design, A/B testing, Bayesian inference, model selection, hypothesis testing, significance testing). Deeply care about methodological and statistical rigor, balanced with pragmatism, and willingness to More ❯

and biomarker discovery. You will create robust data pipelines, curate benchmarking datasets, and develop models that combine multi omics information with existing context in Enchant. An understanding of causal experimental design and the interactions among diverse molecular modalities is essential. This position is remote, with a preference for candidates in Bristol. KEY RESPONSIBILITIES Identify, prioritize, and acquire … Stay current with advances in machine learning and computational biology; prototype promising ideas and share findings with the team. Mentor colleagues in best practices for data engineering, modeling, and experimental design. REQUIRED QUALIFICATIONS PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field, plus 3+ years of relevant experience. Demonstrated expertise applying deep … in Python and modern deep learning frameworks (PyTorch, JAX, or similar). Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics. Solid grasp of causal inference, experimental design, and statistics. Familiarity with software engineering best practices, version control, code review, and continuous integration. PREFERRED QUALIFICATIONS Experience working in cloud or HPC environments and with More ❯

that shape business strategy. If this interests you, please keep reading below for more information Responsibilities Design and analyse causal inference experiments using both randomized and quasi-experimental methods Develop conformal prediction models to quantify uncertainty in machine learning predictions Identify and account for confounding variables in observational studies Create and apply statistical frameworks to estimate causal … effects accurately Collaborate with product, engineering, and business teams to design rigorous experiments Present insights and methodologies in a clear and actionable way to stakeholders Translate complex data challenges into impactful, data-driven solutions Qualifications … Advanced degree (MS/PhD) in a quantitative field with strong statistical expertise 3+ years of hands-on experience applying statistical methods to real-world data Deep knowledge of experimental design and observational study techniques Strong understanding of conformal prediction theory and applications Proficient in Python or R, with experience in statistical and machine learning libraries Familiarity More ❯

building, programming, and using a quantum computer pose numerous challenges. Modern AI methods show promise in addressing these challenges, requiring quantum computing scientists to identify use cases and design experiments. As a Machine Learning Scientist in the AI for Quantum team, you will design ML experiments in collaboration with ML engineers and quantum scientists. You will … lead the development of tools and frameworks applying AI techniques to quantum computing to solve complex problems, such as circuit optimization, quantum algorithm design, and error mitigation or correction strategies. You will have access to Quantinuum’s high-quality quantum computers. Your work will focus on AI models working synergistically with quantum computers to solve problems inaccessible to More ❯

investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers. Key job responsibilities You invent and design new solutions for scientifically-complex problem areas and/or opportunities in existing or new business initiatives. You design experiments and define the science approach to solve … work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You provide a system-wide view and design More ❯

leadership to align hardware, software, and platform groups. Represent the company in customer meetings, incorporating feedback into architectural decisions. Create high-level architecture specifications to guide engineering teams. Design experiments and analyses to address architectural questions using appropriate tools and methods. Communicate technical concepts effectively across diverse audiences. Key Requirements: Proven track record in smartphone/tablet SoC … Science, or related field; MS or PhD highly desired. Keywords: SoC Architecture/System-on-Chip/Mobile Computing/Platform Architecture/Hardware-Software Integration/Semiconductor Design/Technology Roadmap/IP Evaluation/Cross-Functional Leadership/Embedded Systems/High-Performance Computing/Energy Efficiency/Architecture Specification/Simulation and Modelling If you …/07/European-Tech-Recruit-Privacy-Notice-2024.pdf Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering, Design, and Research Industries Semiconductor Manufacturing and Computers and Electronics Manufacturing Referrals increase your chances of interviewing at European Tech Recruit by 2x Chief AI System Software & Hardware Co-design More ❯

Designing, building, programming, and using quantum computers pose numerous challenges. Modern AI methods show promise in addressing these challenges, requiring quantum computing scientists to identify use cases and design experiments. As a Machine Learning Scientist in the AI for Quantum team, your role involves designing ML experiments in collaboration with ML engineers and quantum scientists, developing tools and … quantum computing, and solving complex problems in the quantum stack. You will have access to Quantinuum’s top-tier quantum computers, with applications including circuit optimization, quantum algorithm design, and error mitigation or correction strategies. As a Machine Learning Engineer, you will utilize state-of-the-art methods alongside quantum scientists to solve problems such as circuit compilation More ❯

operational picture which enables both autonomous systems and end users to complete their missions. WHAT YOU'LL DO Contribute to the full software development lifecycle, including requirements analysis, design, coding, testing, and deployment. Deploy these approaches to operational settings, by moving features along a release process that starts in simulation and ends running in an embedded and operational … context. Research and adapt SOTA perception algorithms - everything from lit. review, through training and evaluation, to optimisation and deployment. Design and develop robust and efficient C Rust software for multi-sensor, multi-target tracking & estimation problems MLOPS - build and maintain automated, scalable infrastructure to manage our data and run our experiments Design experiments, data collection efforts More ❯

drug discovery and development across diverse projects. Responsibilities Apply analytical and statistical rigour to enable better decision making during experimental design. Provide robust and rigorous statistical analyses of experimental results to aid our drug discovery programs. Translate the results of statistical analyses to non-experts, explaining the methodology, the key assumptions, and the main outcomes of the analysis … and standardisation of workflows for routine biological assays. What we look for A post-graduate degree in statistics, machine learning, data science, computer science or bioinformatics. Expertise in statistics, experimental design, and their application across a range of biological data. Confident coding in either python or R for data science and statistics. Experience communicating findings to non More ❯

and provide recommendations. - Extract complex data from large-scale Redshift databases using efficient queries. - Develop metrics tracking and automate scheduled report refreshes (daily, weekly, monthly, and quarterly). - Design and implement robust, extensible, and scalable solutions. - Ensure data accuracy and reliability while adhering to globally standardized definitions. - Demonstrate technical expertise (SQL, Python, Statistics, AWS technologies) in delivering BI … of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information More ❯

and marketing/creative agencies - MBA, Master's or Doctoral degree in Economics, Marketing, Statistics, Advertising, or Business/Digital media planning experience - Experience in ad measurement, predictive analytics, experimental design, A/B testing - Experience and familiarity with AWS stack - Fluent in French or other European languages Amazon is an equal opportunities employer. We believe passionately More ❯

analytics models, including multi-channel attribution model. Utilize Databricks to perform data analysis and manage data workflows. Apply statistical techniques including regression analysis, hypothesis testing, and ANOVA analysis. Develop experimental design and A/B tests to help client design the campaign pilot. Conduct campaign measurement report and generate insights. Create comprehensive Excel reports and More ❯

directly with business stakeholders to translate between data and business needs - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of design of experiments and statistical analysis of results. Additional experience with theory and practice of information retrieval, data science, machine learning and data mining. PREFERRED QUALIFICATIONS - Experience managing, analyzing and More ❯

development of hardware systems. Tasking will include leading and advising programs and business areas on the best practices for the development of test plans and procedures, supporting the design and development process (DFT), analysis and evaluation of sensors (custom and COTS) and sensor performance, and the design, manufacture, and implementation of all required supporting test equipment … Requires 7-10 years in Systems Engineering or relevant role. Additional Job Description: Required Qualifications: Demonstrated expertise with verification and validation planning and execution for industry applications, including design of test or design of experiment methodologies. Expert ability to derive test plans, approaches, and procedures for solving highly complex I&T problems across a program lifecycle … experience leading the development of large-scale test programs and plans, and systems engineering documents for complex electro-mechanical and/or electro-optical systems. Proven ability to design and develop test systems (hardware and software), test equipment, and fixturing required to support integration and testing activities for assigned programs while implementing DFT/DFM and related industry More ❯

makers can rely on. Our team has extensive experience of providing data-led causal and predictive insights using methods from the fields of econometrics, statistics, data science, simulation and experimental design. Our multidisciplinary approach enables us to harness the best of these methods and apply our expertise in numerous sectors and geographies. Your role in the Data Science and More ❯

accuracy. Preferred Qualifications - Experience working in a consumer technology, content, or creator economy business. - Background in building predictive models or recommendation systems. - Familiarity with A/B testing and experimental design. - Strong communication skills, with the ability to simplify complex topics for non-technical audiences. - Knowledge of the livestreaming industry or digital content ecosystems is a plus. About TikTok More ❯

cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy teams. This role combines expertise in machine learning, ethical and responsible AI, experimental design, and data generation and management. It will require curiosity to tackle totally new scientific problems, engineering skills to implement the pieces we need to test solutions More ❯