86 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at University of Cambridge in United Kingdom
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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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of clinical research studies using stable isotope tracer methodologies and analysis of the collected blood/tissue samples. Main duties include: Conduct bench work to prepare blood and tissue samples
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dynamics and tissue morphogenesis during embryo development using cellular, molecular and mechanical approaches. Cell movements underlie tissue patterns and shapes. Using chick embryos as the model system
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will be defined, decomposed and assessed through attention to artefacts and practices across a range of sectors and disciplines. Focusing on the automotive context, the project will develop a
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of the Principal Investigator and Director of LISA, with a view to developing LISA's research capacity in AI-augmented spatial analysis. The Fellow is expected to lead the development and application of machine
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participants Ideally, practical skills in one of (a) programming, (b) machine learning, and/or (c) design Responsibilities Developing and conducting novel research projects individually and on teams Developing a
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the group webpage (www.damtp.cam.ac.uk/user/gold/ ). Duties include developing and conducting individual and collaborative research objectives, proposals and projects. The role holders must be able
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in