46 phd-position-for-fully-funded-reserch-in-computer-vision Postdoctoral positions in France
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Send your CV along with a motivation letter to chloe.lehoucq@pasteur.fr with benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Neuroscience or Cognitive science and the
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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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One postdoc position in the Humoral Immunology Unit The Humoral Immunology Unit in the Immunology department at the Institut Pasteur (Paris)[1] is seeking a highly motivated postdoctoral candidate
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Offer description A post-doctoral position for 24 months is available immediately for an advanced scientist in data science and modeling at the Centre for Research and Innovation in Humans (CERIAH
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statement of research interests and motivation, a CV, and contact information for three references. Applications will be reviewed as soon as they are received. Funding is available for multiple positions but
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experience of the site and the services we are able to offer. More information These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in
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collaborative research Application for and coordination of (international) third-party funding Publications in peer-reviewed journals Innovative teaching Independent supervision of students and doctoral
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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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to relevant audiences. The successful candidate will join the YSL research team (two PhD students, one postdoctoral researcher) at the Centre for Childhood and Youth Research (CCY) within the Department
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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and