22 phd-position-data-mining Postdoctoral positions at University of Cambridge in United Kingdom
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be about to obtain) a PhD in chemical biology. They will be highly motivated and able to work independently. Excellent organisational and interpersonal skills are required to ensure success in liaising
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://degradationproject.com/ ) and NEXGENNa (http://nexgenna.org/ ) projects and participation in regular relevant FI meetings. Applicants should hold (or be about to obtain) a PhD in Chemistry, Materials Science, or a closely
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Meier, Charo Sadaba). You will be responsible for completing research projects fitting computational models to social media behavioural data (e.g., see https://doi.org/10.1038/s41467-020-19607-x
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A position exists for a Post Doctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics, funded by the High Energy Physics group's STFC Consolidated grant
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campus set in the heart of stunning Cornwall. We are committed to ensuring reasonable adjustments are available for interviews and workplaces. Further information Before submitting an application you may
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and Innovation Associate to join this ambitious project. You should hold a PhD in a relevant field such as applied/pure mathematics or physics and have an established track record of original research
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will have a PhD in a relevant area (or be close to completion) and a good understanding of neurotransmission and behaviour. We welcome applicants with experience in some of the following areas and with a
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of working effectively under pressure, with excellent communication skills and a strong focus on teamwork and accurate data recording. This position offers the opportunity to contribute directly to impactful
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. degree in a relevant discipline and prior mouse work and/or laboratory experience. This position is offered at Grade 5 on the university scale. Interviews are expected to take place in late August
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connectome, with a focus on the chemosensory circuits involved in human host-seeking. The principal focus will be on the high level proofreading, annotation and analysis of connectomics data. This will include