40 phd-rehabilitation-engineering-computer-science Postdoctoral positions in Luxembourg
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of our Data Science strategic research program, we are looking for a Post Doctoral researcher with expertise in Knowledge Graph Engineering
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Applications should include: A cover letter A copy of the PhD diploma or a letter indicating the expected defense date A detailed curriculum vitae with a complete bibliography of published works
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PhD thesis. If you choose a publication with multiple authors, please also explain your own contribution Early application is highly encouraged, as the applications will be processed upon reception
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to contribute to the design and collection of future YSL waves and disseminate findings to relevant audiences. The successful candidate will join the YSL research team (two PhD students, one postdoctoral
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) 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 of teaching and
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of Science, Technology and Medicine (FSTM) at the University of Luxembourg plays a leading role in developing AI training programmes, coordinating talent development activities, and supporting outreach and
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University of Luxembourg, Faculty of Science, Technology and Medicine (FSTM) Position ID: FSTM -POSTDOCTORALRIGA [#26178, UOL07011 - UOL07043] Position Title: Position Type: Postdoctoral Position
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. The experimental work will be carried out in close collaboration with a Ph.D. candidate whom you will be co-supervising and another post-doc focusing on new LCE chemistry adapted to the procedures that you develop
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Please prepare the following documents in English: Curriculum Vitae (studies with grades, work experience, publication list) Cover letter Abstract of your thesis List of 3 referees description of possible research interests/ideas Early application is highly encouraged, as the applications will...
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The successful candidate will join the Enzymology & Metabolism group, led by Prof. Carole Linster, which deciphers the cellular metabolism in rare and more common neurodegenerative or neurometabolic diseases. We exploit genomic and post-genomic data to fill gaps in metabolic networks, discover...