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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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testing and related workflows alongside a familiarity with command-line environments, high-performance computing (HPC) environments and pipeline execution on compute clusters (e.g., SLURM) are essential. A
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of experimental data. You will primarily support the insectary at the Jenner Institute aiming for the assessment of new target antigens as vaccine candidates for the Malaria Vaccine Programme using some of the most
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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and
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the College’s research programme, as well as being able to teach high-achieving graduate students. Additionally, they will possess excellent oral and written communication and interpersonal skills and
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Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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the performance of lithium ion technologies. To support the programme, the post holder will be required to carry out research on characterisation of battery degradation, with a particular focus on the application
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the Institute and at national and international meetings/conferences. You will be expected to actively participate in Group/Institute research meetings and internal seminars as well as submit publications to high