8 of 8 Experimental Design Jobs in Scotland

candidate has a background in artificial intelligence, machine learning, applied mathematics, computer science, or theoretical physics. They will develop advanced algorithms based on Bayesian experimental design, variational Bayesian inference, and reinforcement learning to enable quantum sensors to autonomously decide what measurement to perform next, learn from incoming … tuned to the specific preferences of the candidate but will involve for example interviews, talks for the general public and preparation of experimental demonstrators. Education, Qualifications and Experience Essential Criteria A PhD in computer science, electrical engineering, theoretical physics or related subjects (or expected to be awarded ...

modern ML/DL stack (e.g., PyTorch, Hugging Face) Hands-on experience evaluating, fine-tuning, and deploying Large Language Models Strong grounding in experimental design, evaluation, and benchmarking of ML systems Ability to bridge research and engineering: prototypes that become production-ready capabilities Awareness of inference cost ...

nitrogen-vacancy (NV) centres in nanodiamonds for monitoring metabolic changes in 3D models of immune cell-cancer interactions. The successful candidate will establish advanced experimental platform combining quantum biosensing, fluorescence imaging and 3D cell culture models. The project will provide new insights into metabolic heterogeneity during immune cell-cancer … immune cell-cancer interactions. Apply multimodal imaging approaches, including quantum sensing, fluorescence microscopy, flow cytometry and multiomics to monitor metabolic biomarkers. Analyse and interpret experimental data using appropriate quantitative and computational methods and contribute to the development of new analytical workflows. Collaborate effectively with academic and industrial project partners ...

video-based behavioural analysis and/or applying computer vision or machine learning methods to biological data. Applicants should have good working knowledge of experimental design for welfare science and an interest in translating research into deployable technology for commercial aquaculture settings. The IoA is contributing … part of a team, delivering directly to the project objectives, and disseminate results through publication in high-impact journals and conference proceedings Design and conduct welfare-focused behavioural studies of target aquaculture species, including video-based data collection, annotation and analysis Contribute to the development and validation of ...

somebody who wants to lead the science, shape technical direction, mentor other scientists and solve difficult problems, whilst still remaining closely connected to experimental design, data interpretation and sensor development. Why This Principal Scientist Role Is Interesting Most senior scientists eventually get pushed in one of … actually work Challenges assumptions rather than accepting them Enjoys mentoring and developing others Can balance scientific rigour with commercial reality Still gets excited by experimental results Wants to build technology that has real-world impact You may currently be a: Principal Scientist Lead Scientist Senior Scientist Principal Development Scientist ...

developing real-time AI methods to autonomously optimise spin-based quantum sensors, reinforcing the Q-BIOMED hub. The successful candidate will combine AI, Bayesian experimental design and reinforcement learning to push quantum sensing toward imaging and molecular analysis, working with a dynamic research team. #J-18808-Ljbffr ...

worldwide, have twenty-one locations globally, with manufacturing in the United Kingdom, Germany, China, and Taiwan. We are looking for a Senior Discrete Design Engineer at our Greenock site. Relocation and sponsorship are available for successful Candidates. Job Title: Responsible to: Design Manager Purpose Designing … process simulation, layout, design of experiments, measurements, analysis of trial results The development of Discrete process platforms, establishment and re-use of design rules and functional blocks to reduce TTM and maximize RFT design Providing technical support for improving the performance, manufacturability, yield ...

innovative contributions into high-impact publications for top-tier academic journals and conferences. Technical Documentation: Maintain comprehensive technical documentation detailing research methods, design decisions, and implementation specifics to ensure reproducibility and internal knowledge sharing. Stakeholder Engagement: Present research progress, performance insights, and technical outcomes to internal … stakeholders. Requirements Education: Bachelor's or Master's degree in Computer Science or a related technical discipline. Research Skills: Comfortable with research methodologies and experimental design. Technical Expertise: In-depth understanding of operating systems, distributed systems, cloud computing, or machine learning systems. Programming: Strong coding proficiency in at least ...