100 algorithm-development-"Multiple"-"Prof" Postdoctoral positions at University of Oxford in United Kingdom
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Postdoctoral Researcher in Digital Pandemic Preparedness. The post holder will manage and carry out research in digital pandemic preparedness by leveraging multiple types of personal digital and real-world data
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of concept studies) and de novo drug design/ development as well as at least two of asymmetric synthesis, chemical biology, amnio acid chemistry, nucleotide chemistry, sugar/amino sugar chemistry. Expertise in
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atmosphere and main group chemistry. You will be expected to manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects
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, co-ordinating multiple aspects of work to meet deadlines. The post will be based in the Kavli Institute for Nanoscience Discovery, New Biochemistry Building, South Parks Road, Oxford and is available
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will be expected to manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. The post will
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management, to co-ordinate multiple aspects of work to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory and is available as soon as possible. Application
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cognitive psychology research and neurofeedback training. Advanced programming and statistical skills, with the ability to manage multiple competing demands along with excellent communication skills are also
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, to co-ordinate multiple aspects of work to meet deadlines. You will undertake laboratory work as required, such as sample preparation, cell culture, analysis of tumour samples and, tissue staining. Other
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the blood in healthy volunteers and pregnant women. You will have the opportunity to work across multiple projects and take an active role in recruiting participants, scheduling and carrying out
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focus on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor Chris Holmes, and with