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that can validate those models are missing. This projects will address all, or some, of these challenges. We are looking for a postdoc to drive the development of an in-depth understanding of transport in
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, such as AI providers and data center operators, to evaluate and compare scenarios to reduce emissions. The framework will be released as a software tool to guide emissions reduction strategies. The project
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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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et al, Leukemia 2018; Poynton et al, Blood Adv 2023; Coulter et al, J Mol Diagn 2024). The wet lab/computational biology postdoc will lead a project investigating residual follicular lymphoma cell
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et al, Leukemia 2018; Poynton et al, Blood Adv 2023; Coulter et al, J Mol Diagn 2024). The wet lab/computational biology postdoc will lead a project investigating residual follicular lymphoma cell
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feasibility study at the Royal London Hospital. Background The post holder should hold relevant PhD in Signal Processing, Software Engineering, Electronics Engineering, Biomedical Engineering or a related field
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as psychology, mental health, behavioural science, digital health, or a related discipline Experience working with quantitative data and relevant software for data management and analysis (e.g. R
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-leading physics capabilities and enable time-dependent, non-LTE radiative transfer magnetohydrodynamic (MHD) simulations. The framework will be released as open-source software, with a strong emphasis on
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environment will provide you with unique development opportunities. This project is a part of a larger project which will involve two other postdocs and two PhD students in the coming years, within a Wellcome
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of novel software tools and pipelines for new and cutting-edge analysis. There is scope to design new laboratory experiments and commission high-throughput data generation, so although primarily