32 high-performance-computing-postdoc Postdoctoral positions at King's College London in United Kingdom
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have access to state-of-the art core facilities and expertise, including facilities for high-throughput screening and high content imaging, multimodality in vivo imaging, proteomics, integrative
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. This entitlement, from the Concordat to Support the Career Development of Researchers , applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and
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in a computational model of paranoia may be influenced by THC administration or in support-seeking participants under sober conditions. The postholder will collect a range of psychopharmacology
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with other cellular resistance mechanisms to produce high levels of drug tolerance. Building on previous discoveries of efflux-resistant azole compounds that remain active against multidrug-resistant
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Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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and under load. Multi-scale modelling based on continuum mechanics and hydrodynamics informed by experiments and molecular modelling. High-throughput data analysis and image processing using Python
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Delivery Location: King’s College London, Institute of Pharmaceutical Science Department: Medicines Development Responsible to: Principal Investigator, Medicines Governance Programme Responsible for: Quality
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the Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences (NMES). The department is internationally recognised for its contributions to robotics, AI, and human-centred
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the use of computing servers Desirable Criteria Experience fine-tuning large language models (e.g., BERT, BioGPT, MedPaLM) for clinical NLP tasks. Experience with cloud or distributed computing environments