14 algorithm-development-"Multiple"-"Prof" Postdoctoral positions at University of Cambridge in United Kingdom
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to Research Associate (Grade 7) upon the award of PhD. The cellular dynamics of the plant hormones underpin all aspects of plant development and environmental responses. Targeted perturbations of phytohormones
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A position exists for a Post Doctoral Research Associate in Department of Applied Mathematics and Theoretical Physics to work on the theory and implementation of algorithms and protocols on quantum
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evolution of a recently discovered family of clonally transmissible cancers which affect several species of marine bivalves. This new position is part of an ERC-funded project examining genome evolution in
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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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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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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