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biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be
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Supervise the collection and maintenance of clinical trial documentation, including data records and equipment maintenance logs Ensure compliance with clinical inventory management procedures Develop and
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to prove their eligibility to work in the UK. Please see: Right to work in the UK | Selwyn College For further information with the link to the application system, please click on the 'Apply' button above
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for the Expansion of Wellbeing Archaeology (KNEWA). KNEWA will run for 1 year, it will collect and compare data on policies and delivery of WA in England, Denmark and Italy to advance understanding of what works in
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molecular techniques, genomic approaches, and genetic and xenograft mouse models. For more information on the research lab please visit here . As a successful candidate you will: · Design and conduct
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(DoE) plan Plan and execute experiments Capture and analyse data Resolve technical problems Perform technical research and technical report writing Requirements: PhD in Mechanical, Electrical and
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sciences, or a closely related field. Proven experience in omics data generation and analysis (transcriptomics, proteomics, metabolomics). Strong background in microbial physiology, protein/peptide
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undertake research in the neuroscience of ageing using the model organism Caenorhabditis elegans. You will also have the opportunity to contribute to project design and implementation, the analysis of data
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public health surveillance data analysis and reporting for Department of Defense members and beneficiaries. Develop/conduct epidemiologic studies and surveillance in the areas of clinical epidemiology
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 19 hours ago
computational research and communicating scientifically. The training objectives of this research project will include: Understanding and extracting relevant data from the literature and synthesizing available