12 genetic-algorithm-computer Postdoctoral research jobs at University of Cambridge in United Kingdom
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and implementing vision processing algorithms that enable robust robot tracking and autonomy. The ideal candidate will possess hands-on experience designing, implementing, and deploying computer vision
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to understand immune microenvironmental interactions; Integration and interpretation of complex datasets in collaboration with computational scientists You will be expected to take a lead in experimental design
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to understanding the origins and progression of paediatric brain tumours and developing new therapeutic strategies. The lab combines genetic engineering, molecular biology, and translational research to investigate
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genetics, multiplex-immunolabelling (tissues), single-cell omics, and somatic mutation analysis. The successful candidate will also assist lab management, working closely with Dr Andrew Young. The successful
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the lab. This work will explore the molecular mechanisms of DNA damage responses and mutagenesis, and how sensitivity and resistance arise in different cancer cells and genetic backgrounds in response
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with grant administration and the writing of reports for funding bodies, when relevant. The Department of Sociology is part of a joint undergraduate degree programme in Human, Social and Political
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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
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the starting date is negotiable. The current funding is guaranteed from the Montague Burton Fund. We are looking for a candidate who is a health economist with excellent computational skills. The post is
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research centre well-known for its close-knit community, friendly atmosphere, and outstanding research support. We are seeking a post-doctoral research associate with experience in computational approaches
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to the regulation of complex behaviours. This will involve a range of techniques including high resolution confocal microscopy to determine receptor localisation, behavioural analysis of C. elegans and computational