26 to 50 of 82 PhD Jobs in Cambridge

curate and prepare datasets. Work in cross-functional teams to ensure application of these models are applicable to practical biological applications Your profile (ESSENTIAL) PHD degree in relevant area (Machine Learning, AI, bioinformatics, Comp Bio, Physics etc) Extensive knowledge of Multi-omics datasets with a focus on Single-cell and More ❯

curate and prepare datasets. Work in cross-functional teams to ensure application of these models are applicable to practical biological applications Your profile (ESSENTIAL) PHD degree in relevant area (Machine Learning, AI, bioinformatics, Comp Bio, Physics etc) Extensive knowledge of Multi-omics datasets with a focus on Single-cell and More ❯

skills and familiarity with version control systems. Self-motivation, ambition, and the ability to work collaboratively in a team environment. A BSc, MSc, or PhD in a relevant discipline. 5+ years of experience in GPU software architecture or driver development. The right to work in the UK. Desired Skills (Bonus More ❯

skills and familiarity with version control systems. Self-motivation, ambition, and the ability to work collaboratively in a team environment. A BSc, MSc, or PhD in a relevant discipline. 5+ years of experience in GPU software architecture or driver development. The right to work in the UK. Desired Skills (Bonus More ❯

skills and familiarity with version control systems. Self-motivation, ambition, and the ability to work collaboratively in a team environment. A BSc, MSc, or PhD in a relevant discipline. 5+ years of experience in GPU software architecture or driver development. The right to work in the UK. Desired Skills (Bonus More ❯

Cambridge, along with a broader team of principle scientists, applied scientists and software engineers across multiple global teams in the devices group. BASIC QUALIFICATIONS - PhD - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience in building machine learning models for More ❯

Expertise in data analysis and software development (Assembly, C/C++, Python, etc.) Ability to work effectively in cross-geographical, collaborative environments MSc or PhD in Electrical Engineering, Computer Science, or related fields Experience with SoC bring-up, benchmarking, and performance analysis Knowledge of general-purpose memory subsystems and operating More ❯

by a 1st class degree in Maths or Physics from a top ranked university. Applicants should also hold an advanced degree (Master’s or PhD) in a highly numerate subject. Extensive numerical modelling skills using statistics or quantitative analysis. Specific experience with financial mathematics is not needed but any exposure More ❯

methods with ongoing research initiatives.Attention to detail and good organisational skills are key to the role. What experience you will have: An MSc. or PhD in a biological science is desirable. Experience processing and analysing large biological datasets. Experience of development in a programming language such as R or Python. More ❯

the project plan, and delivering work on time. Comfortable working with engineers across multiple organisations in multidisciplinary teams. Graduate degree (Master's degree or Doctorate) in a technical discipline relevant for this role (e.g., Electrical Engineering, Computer Science, Information Technology). Desirable: Broad experience range across multiple digital silicon IPs More ❯

specification, architecture and technical leadership on projects, whilst contributing to the future technology direction of the department and the company. An excellent degree or PhD in Electrical Engineering, Physics, or a related subject FPGA or ASIC architecture, design and verification, including: System engineering and partition IP Design, Packaging and Integration More ❯

be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required: BSc or MSc or PhD in relevant discipline 5 or more years of experience in GPU software architecture or driver development Hands-on experience with one or more of the More ❯

partners, mentor interns and longer-term research fellows. Publish in top-tier academic venues and interact with the broader academic community. Qualifications Required Qualifications Doctorate in Computer Science or relevant field OR equivalent experience. 2+ publications in top-tier machine learning or artificial intelligence (such as AAAI, NeurIPS, ICML, ICLR More ❯

mission is to push the envelope in LLMs for Alexa, in order to provide the best-possible customer experience for our customers. BASIC QUALIFICATIONS PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science. 10+ years of combined academic and research experience with a strong More ❯

OR Master's degree in Science, Engineering, or related field and 5+ years of ASIC design, verification, validation, integration, or related work experience. OR PhD in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience. Key Responsibilities: In partnership with system More ❯

s degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. PREFERRED QUALIFICATIONS: Master's Degree in Engineering, Information Systems, Computer Science or related field. More ❯

streamline production pipelines and processes to meet industry standards. Evaluate and implement new tools and technologies to improve and extend platform capabilities. ROLE REQUIREMENTS: PhD or Masters in Computer Science, Bioinformatics, or a related field (or equivalent experience). Proven industry experience working with genomic data within a cloud environment. More ❯

curate and prepare datasets. Work in cross-functional teams to ensure application of these models are applicable to practical biological applications Your profile (ESSENTIAL) PHD degree in relevant area (Machine Learning, AI, bioinformatics, Comp Bio, Physics etc) Extensive knowledge of Multi-omics datasets with a focus on Single-cell and More ❯

Strong data analysis skill and software development skills (Assembly, C/C++, Python, etc.) Work well under cross-geography collaborative environment Desired:MSc or PhD in Electrical Engineering, Computer Science or relevant subjects Experience in SoC bring up, benchmarking, performance analysis. Experience in general purpose Memory Subsystem and OS Excellent More ❯

Strong data analysis skill and software development skills (Assembly, C/C++, Python, etc.) Work well under cross-geography collaborative environment Desired: MSc or PhD in Electrical Engineering, Computer Science or relevant subjects Experience in SoC bring up, benchmarking, performance analysis. Experience in general purpose Memory Subsystem and OS Excellent More ❯

Strong data analysis skill and software development skills (Assembly, C/C++, Python, etc.) Work well under cross-geography collaborative environment Desired: MSc or PhD in Electrical Engineering, Computer Science or relevant subjects Experience in SoC bring up, benchmarking, performance analysis. Experience in general purpose Memory Subsystem and OS Excellent More ❯

Strong data analysis skill and software development skills (Assembly, C/C++, Python, etc.) Work well under cross-geography collaborative environment Desired: MSc or PhD in Electrical Engineering, Computer Science or relevant subjects Experience in SoC bring up, benchmarking, performance analysis. Experience in general purpose Memory Subsystem and OS Excellent More ❯

s degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of CAD experience, EDA experience, or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of CAD experience, EDA experience, or related work experience. Essential Technical Experience More ❯

working on pre-silicon platforms such as Models, RTL simulation, emulation or FPGA. Experience of the Arm architecture. University degree (or equivalent experience) or PhD in Electronic Engineering, Computer Science, Mathematics, Data Analytics or a related field. In Return: You will get to utilise your engineering skills to build support More ❯

cutting-edge work, but also a great working environment and team culture. For this role, we’re looking for: A BSc/MSc/PhD degree within Electronics Engineering or similar Proven industrial experience within analog IC/RF IC design, with experience in one or more of the following More ❯