16 computational-physics-"https:" "https:" "https:" "https:" "https:" Postdoctoral positions at University of Luxembourg
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Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new
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interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics
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, Transparent, and Merit-based Recruitment (OTM-R) standards, with decisions based on international peer review. Find out more about YADIAS at: https://yadias.uni.lu/ Download documents and templates
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and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics
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interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics
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visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/join-us/ Your role The candidate will be funded through a Research, Development, and Innovation (RDI) project with a leading energy
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in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge
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Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new
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Alexander Skupin: Your profile Core qualifications: PhD in bioinformatics, computer science, computational biology, physics, data science, or related fields Strong interest in interdisciplinary and
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and to the continuous improvement of core facility workflows Data analysis & reporting: Analyse complex metabolomics and lipidomics datasets using appropriate computational and statistical tools Prepare