297 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Nature Careers
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is important that you are able to work in a team and work for the overall goal in the project. Your profile The applicant should have demonstrated excellence and have a relevant PhD degree in chemical
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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; collaborating closely with molecular biologists, computational modelers, and clinical and preclinical research partners; documenting results clearly and contributing to publications and presentations; and
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survivorship, genetics, stem cell pharmacogenomics, epidemiology, biostatistics, and computational biology. The successful applicant will gain extensive training and experience in genetic epidemiology and
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: The following qualifications are desired or required: · Completion of a PhD degree in the field of biomedical sciences. · Previous experience of basic laboratory techniques, such as immunohistochemistry, western
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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, you must have a PhD in a relevant field. As a suitable candidate, you have expertise in deep convective cloud processes and experience with scientific data analysis. Prior experience in applying machine
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Python is required. Programming in C or C++ is a plus. Background in statistical genomics, longitudinal modeling, non-parametric statistics, machine learning and deep learning are preferred and encouraged
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of research funding Your profile... The candidate should possess a PhD degree in Computer Science, Software Engineering or a related field The ideal candidate should have some knowledge and experience in
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of climate model output by means of classical statistical and machine-learning methods #coordination of scientific workflows among project partners Your profile #Master's degree and PhD degree in meteorology