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and respect for our employees and students. General information: Contract Type: Fixed Term Contract 36 Month Work Hours: Full Time 40.0 Hours per Week Location: Campus Belval Planned Start Date: October
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of explainable attributes to describe human behavior and self-reports as well as to make progress in the computational models of the human mind. Your main tasks, as a PhD candidate, are the following: Conduct
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 3-year funded PhD position to be supervised by Tarryn Balsdon in the Vision team
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of stimulus. Contact us to know more !! The PhD candidate will interact with several French and foreign groups with which the group is currently collaborating, promising enriching interactions on other research
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European Magnetism Association EMA | Montpellier, Languedoc Roussillon | France | about 17 hours ago
Description of the offer : During this PhD thesis, we propose to explore the properties of exotic antiferromagnetism, in non-collinear antiferromagnets like Mn3Sn or in altermagnets. We will image
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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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Research Fund (FNR) in the framework of its Program for Research Intensive Doctoral Education (PRIDE ), we are currently offering 5 PhD (Doctoral Candidate) positions for a duration of up to three years
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to obtain funding for PhD students. In parallel, applications to FRM and/or Pasteur-MD-PhD-PPU program will be also encouraged. Opportunities for Interdisciplinary Training: Depending on the candidate’s
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Culture: https://www.uni.lu/fhse-en/research-groups/institute-for-lifespan-development-family-and-culture/ Responsibilities: Obtaining a PhD in Psychology with a topic within the scope of the research
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The SiMul team (https://cran-simul.github.io) at the University of Lorraine is offering a fully funded PhD position on the theoretical foundations of self-supervised learning, focusing