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candidate will have strong analytical skills and substantial experience in machine learning at scale. The Prorok Lab in the Dept. of Computer Science & Technology, has a variety of robotic platforms (aerial
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. Familiarity with standard design verification (DV) procedures and continuous integration (CI) setups would be beneficial. Knowledge of machine learning workloads and the design of machine-learning accelerators
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position will be funded by the Horizon Europe Pathfinder grant. Candidates should be qualified to undertake research topics in spin-glass physics, quantised vortices, or physics-based machine learning and
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completion, preferably with an application of their research in a real-world setting. Coding and software engineering proficiency will be expected if relevant to their experience, e.g. for machine learning
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genomic data. -Analyse and integrate different 'omics data to understand milk biosynthesis pathways. -Apply machine learning methods and statistical approaches to explore and interpret data. -Organise data
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), electrophysiology (EEG), interventional (TMS, tDCS) and neurocomputational (machine learning, reinforcement learning) approaches to understand the network dynamics that support learning and brain plasticity
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engineering science, with knowledge and/or some experience of energy technology and policy; and/or quantitative analysis including econometrics, statistics and machine learning and related disciplines handling
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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We are looking for an organised, proactive individual to help in this varied role. The Learning and Development Coordinator will work within the CAM Doctoral Training Partnership [DTP] to provide
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topics in spin-glass physics, quantised vortices, or physics-based machine learning and neural networks, broadly defined. The successful candidates will have completed (or nearly completed) a PhD in