1 to 25 of 27 PhD Jobs in Cambridge

informed about the latest advancements in machine learning and computational biology, and apply them to real-world challenges. Share research findings through presentations, publications, and technical discussions. Basic Qualifications PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related technical field (MSc with significant experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning More ❯

with the Lab scientists and researchers to identify opportunities for data and insight mining to accelerate research. Embed analyses and visualizations in automated reports. Who You Are Minimum Qualifications - PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in More ❯

s next generation of AI hardware. Engage with AI community and keep in touch with the latest developments in AI. Candidate Profile Essential skills: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to More ❯

enhance virtual screening and molecular design. Utilize proprietary structural datasets to train, benchmark, and validate algorithms. Collaborate with multidisciplinary teams to translate research into production solutions. Profile and Skills: PhD or equivalent in a technical discipline (e.g., computer science, chemistry, physics, engineering). Strong background in machine learning, including deep learning and generative models. Experience with ML frameworks such as More ❯

both technical and non-technical stakeholders. Demonstrated commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques to solve business problems. Desirable: PhD or equivalent qualification and experience in Machine learning or AI/Computer Science Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. More ❯

in conjunction with a working understanding of cell biology and/or biophysics. The level of the position will depend on the qualifications of the selected candidate. Minimum Qualifications - PhD in Biology, Computational Biology, Computer Science, or closely related field with strong emphasis in biological modeling. Relevant industry and/or academic experience. Expertise and a track record of using More ❯

matter knowledge in a wide range of topics from epidemiology, biostatistics or infectious disease modelling and experience of programming in R/R Studio. Essential criteria for appointment include: - PhD in a relevant quantitative topic (e.g. epidemiology, biostatistics, health data science, infectious disease modelling, computer science or applied mathematics) - Ability to develop and encourage the commitment to learn in others More ❯

tools. We are looking for experienced embedded engineers with a very strong academic background in a numerical subject (e.g. maths, physics or computer science) or of similar calibre. Requirements: PhD, first class or 2:1 from well ranked university 7+ years software experience (or equivalent) working at silicon or networking companies. Proven commercial experience developing in C Experience of python More ❯

by enhancing data science,bioinformatics and statistical capabilities. Manages internal and external collaborations with academic andcommercial partners. Leads, mentors and trains junior team members. What we're looking for: PhD with at least 2 years of industry experience or MSc with 5 or more years of relevant experience in bioinformatics, computational biology, data science or a related field. Hands-on More ❯

in transitioning R&D into commercial products through testing and validation Engage with customers and field teams to solve real-world technical challenges Requirements Essential: Degree (ideally MSc/PhD) in Physics, Electrical Engineering, Systems Engineering, or Applied Mathematics Strong analytical background in areas such as image processing, control systems, or fluid mechanics Experience working across hardware, firmware, and software More ❯

at key conferences and in leading publications This project is in collaboration with Prof. Andrew Gelman at Columbia University, and Dr Stanley Lazic at AstraZeneca. Education and Experience Required: - PhD in Statistics, Computer Science, Data Science, or similar - Excellent knowledge of either R or Python (ideally both) - Knowledge of Bayesian statistics - Knowledge of modern Bayesian software such as Stan and More ❯

hardware and algorithms, and enabling the seamless interface between electronics, mechanical, firmware and algorithms. Requirements: You’ll hold a degree in electronic engineering or applied physics (and likely a PhD or Master’s). Your relevant experience will include research and industrial development with sensor technologies (ideally touch sensors) and system integration. Technical skills you’ve used will include MATLAB More ❯

and co-develop AI solutions. Experiment with new tools, models, and techniques to keep Arm at the forefront of AI productivity engineering. Required Skills and Experience : BS, MS, or PhD or equivalent experience in Computer Science, Machine Learning, Engineering, or a related field. Production experience building LLM-powered applications and integrating them into larger systems. Hands-on expertise tuning and More ❯

memory systems, and system software). Collaborate with the Arm engineering teams to see your ideas delivered into products. Required Skills and Experience : BSEE or BSCS required. MS/PhD in EE or CS preferred. Minimum 5 years of system architecture and design experience. Experience should include memory systems and memory controllers knowledge. Experience in SoC design, and the challenges More ❯

Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. • 2+ years of work experience with Programming Language such as C More ❯

machine learning. Excellent C++ development 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 Points!): Knowledge of neural rendering More ❯

2D, 3D and 4D) and machine learning software in Python. Datasets are vast (terabytes to petabytes) and significant computational power and HPC is available. You will have: A relevant PhD (or equivalent experience), and a good technical degree in a relevant subject, backed by strong A-level grades. Intellectual curiosity, drive, energy and reasoning skills. Team working and an interest More ❯

Optimize rendering solutions at both the GPU subsystem and SOC level. What We’re Looking For: Degree in Computer Science or Electrical Engineering (BSEE/BSCS required, MS/PhD preferred). Expertise in graphics algorithms and a deep understanding of game rendering pipelines. Strong knowledge of graphics APIs such as Vulkan, OpenGLES, Metal. Excellent team player with a self More ❯

Ability to develop novel solutions to research and engineering problems, and articulate them to the technology team and management Publish scientific papers, write patent applications and attend conferences Qualifications: PhD in Fluid Mechanics, Applied Mathematics, or a related field Expertise in first-principle modelling approaches to Multiphase Flow Dynamics (Gas, Liquid, and Solid Flow physics) Knowledge of multiphase flows CFD More ❯

memory systems, and system software). Collaborate with the Arm engineering teams to see your ideas delivered into products. Required Skills and Experience : BSEE or BSCS required. MS/PhD in EE or CS preferred. Minimum 10 years of infrastructure system architecture experience. Experience should include memory systems, Quality-Of-Service, and high-speed IO interfaces like PCIe and CXL. More ❯

Optimize solutions at GPU subsystem and SoC levels Prototype and evaluate advanced graphics techniques Collaborate with cross-functional engineering and research teams Key Requirements: BSEE/BSCS (MS/PhD preferred) in relevant field Strong knowledge of graphics algorithms and rendering flows Proficiency with APIs like Vulkan, OpenGL ES, Metal Experience in advanced rendering or neural rendering is a plus More ❯

skills and ability to work across multiple teams Nice to have: Bachelor of Science degree in EE/ECE/CE/CS or related field required; MS or PhD highly desired In return: Arm is at the heart of the world's most advanced digital products. Our technology enables the generation of new markets and transformation of industries and More ❯

Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at Our Value Our Single Altos Value: Everyone More ❯

solve problems to improve the quality of each model. In this role you will need to hold an expert understanding of physics- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Astrophysics, Biophysics, Electrical Engineering, Nuclear Engineering, Chemical Engineering, Mathematics. Benefits: This is a full-time or … native or bilingual level) Detail-oriented Proficient in mathematics, inductive/deductive reasoning, physical/temporal/spatial reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. Job Types: Full-time, Part-time Pay: From £29.67 per More ❯

solve problems to improve the quality of each model. In this role you will need to hold an expert understanding of physics- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Astrophysics, Biophysics, Electrical Engineering, Nuclear Engineering, Chemical Engineering, Mathematics. Benefits: This is a full-time or … native or bilingual level) Detail-oriented Proficient in mathematics, inductive/deductive reasoning, physical/temporal/spatial reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. Job Types: Full-time, Part-time Pay: From £29.67 per More ❯