17 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions 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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writing and electronically and prepare proposals and applications to external bodies. Applicants will possess a relevant PhD (or nearing completion) or possess an equivalent qualification/experience in
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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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desire to learn others: molecular biology, C. elegans or other model organism research, confocal imaging, computational analysis, preferably in python and electrophysiology. We are also looking for someone
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Sciences (HSPS) and also has a vibrant MPhil and PhD programme. There are currently about 80 students working on PhDs on a diverse range of topics in sociology. Further information about research interests
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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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://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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enable the full exploitation of next-generation observations using Exascale computing, i.e. leading the research in solar/stellar physics for many years to come. We are seeking a highly motivated Research
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include a motivation statement, which demonstrates how their research interests and expertise relate to the project and the desired tasks. Applicants must hold a PhD in a relevant specialist subject (e.g
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PhD in a relevant specialist subject (e.g., Latin language and/or literature, medieval studies, cultural studies, history, liturgy, or theology) or have evidence that the PhD will be completed by