52 computer-science-programming-languages-"St"-"St" Postdoctoral positions in Luxembourg
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of six Strategic Research Programs: Data Science for Tires, Tire as a Sensor, End-of-Life Tire Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable Materials for Next Generation of
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profile PhD in Mathematics, Theoretical Computer Science, Information Theory, Physics or related fields High level of mathematical maturity Experience with topics related to quantum LDPC codes and decoding
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laboratory experimental experience. · You have programming experience, knowledge of Python and Git is a plus. · You have a proven ability to write high-quality scientific papers. Language
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· An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international
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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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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
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Applications in English should include: Cover letter explaining your motivation Curriculum Vitae (including your contact address, work experience) Copies of diplomas List of publications Summary
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Wilmes at the Luxembourg Centre for Systems Biomedicine (UL) and Rob Finn at EMBL-EBI in the UK, both involved in the identification of VFs through computational biology, as well as Kim Remans at EMBL in
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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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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...