278 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Nature Careers
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in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50 nationalities
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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. Your role The Postdoctoral researcher will be working in the Institute for Lifelong Learning
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Program research grant, this project brings together complementary expertise of the Zhulyn (Canada), Lagha (France), vanOudenaarden (Netherlands) and Kelleher (US) labs for a team-driven, multidisciplinary
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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 blot and cell
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PhD in molecular biology, biochemistry, bioinformatics, genetics, proteomics, or related fields - Strong analytical and problem-solving skills - Excellent publication record in peer-reviewed
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of Excellence for Leukemia Studies with access to cutting-edge technology and resources. The successful candidate will ideally have a PhD (or will obtain a PhD) with a focus on molecular biology, cancer
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be used to evaluate the gene therapeutic effects both ex vivo and in vivo. QUALIFICATIONS: The following qualifications are desired or required: · Completion of a PhD degree in the field of biomedical
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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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visit our homepage . Expectations and qualifications Applicants must hold an MSc, DVM, or MD degree, and a PhD, with research experience within one or more of the following areas: Clinical or molecular
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
the current management concept adequately address the emerging challenges posed by climate change and a fast-growing fishery? How can the management concept be improved, potentially by learning from management