653 parallel-computing-numerical-methods-"DTU" Fellowship positions in United Kingdom
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will develop and apply methods to transform omics data into networks and executable models, collaborating closely with experts across the Petsalaki and Sheriff groups, Open Targets, EMBL-EBI, and the
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research projects, providing qualitative and mixed methods process evaluations. This is an exciting opportunity for someone who is on their way to becoming an independent researcher as there will be scope
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with regulatory authorities, industrial and clinical partners Design, develop and refine experimental apparatus and analytical methods in order to obtain reliable data. Carry out in vivo animal
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of 30 days (or pro rata) plus standard bank holidays and five university closure days including closure between Christmas and New Year. Our reward scheme grants bonuses of numerous values for excellent
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of peptides, peptoids), advanced methods of drug conjugation to peptide, peptoids, proteins or similar molecules, purification and identification. Experience in optimising the chemical synthesis of peptide
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LCA methods to propose strategies to reduce waste and evaluate the potential for industrial ecologies. The post holder will be one of a team of UCL-based researchers working as part of VaxHub
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the NIHR Research for Patient Benefit programme, with the aim of developing and refining a multi-component behaviour change intervention for reducing delay and increasing identification of work-related
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extensive research experience) in a relevant quantitative discipline (e.g., health economics or a closely related discipline). They will have experience in using statistical or econometric methods
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Living Systems Institute, the successful applicants will join a world-leading programme of investigations into the plasticity of pluripotent stem cells and their underlying gene regulatory network
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data from the UK using robust causal inference methods. Based in London at the London School of Hygiene & Tropical Medicine, the post-holder will be embedded within the Electronic Health Records Research