112 phd-computational-intelligence-"University-of-Exeter" Fellowship positions at Nature Careers
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organoids will be plus. Dry lab: Highly motivated candidates with a PhD/MD degree in bioinformatics, genome science, systems biology, biomedical informatics, computational biology, machine learning, data
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together the brightest minds who have completed a PhD in the natural sciences or engineering and who aim to pursue a research project that includes the application of artificial intelligence (AI
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and values diversity acting as a role model and fostering an inclusive working culture Person Specification Essential: PhD (or near completion) in Computer Science, Data Science, AI, or a related field
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at Mount Sinai and the New York City area. The qualified candidate should have • PhD degree • Proficient experience with molecular biology-related experiments, cell biology-related
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Fellowship Program supports outstanding early-career scientists and engineers from around the world. Fellows receive funding to pursue independent, cutting-edge research at KAUST for three years. Selection is
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake management/administration arising from research
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performance computing systems in a way that is suitable for operational use. Implement and test different ML architectures, such as convolutional and encoders-decoder ANNs for predicting flooding in Bihar and
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Postdoctoral Position for Cardiovascular Biology Research at Mayo Clinic (Rochester, MN) The lab of Paul Tang, MD, PhD is seeking motivated, creative and enthusiastic scientists to join us in
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helping to write publications, present at conferences and regular team meetings Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline
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students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods as appropriate Undertake management