26 algorithm-development-"Multiple" Postdoctoral positions at University of Cambridge in United Kingdom
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. This will require the application of a range of techniques, from in-vitro biochemistry to novel, next-generation sequencing approaches. Most skills can be acquired and developed throughout the post, offering
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be able to communicate material of a technical nature and be able to build internal and external contacts. You may be asked to assist in the supervision of student projects, the development of student
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in Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three
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., musicology or medieval studies) or have evidence that the PhD will be completed by the starting date and show a developing profile of publications. The successful candidate will be capable of engaging with
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the starting date and show a developing profile of publications. The successful candidate will be capable of engaging with sophisticated conceptual problems relevant to the project. Applicants will ideally
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at the Department of Chemistry at the University of Cambridge (https://www.ch.cam.ac.uk/group/michaelides ). The projects will involve the development and application of approaches for treating complex intermolecular
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Limit of tenure applies A Postdoctoral Research Associate position is available within the group of Dr Albert Koulman at the Institute of Metabolic Science (IMS), focusing on the development and
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developing new catalytic activation modes that lead to new synthetic transformations. As synthetic chemists, we are uniquely placed to leverage expertise in small molecule catalytic systems to design reactions
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. The postholder will develop, refine, and execute imaging analysis pipelines, both independently and in conjunction with other data, such as clinical outcomes, to establish meaningful relationships. Analysis
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nerve cord). The principal focus will be the development of open source tools for the analysis of connectomics data. This will include developing tools to improve the quality of neuron identification and