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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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Electronique embarquée de conditionnement pour électrode de référence dans un accumulateur Li-ion Postdoctoral position in analog embedded electronics and electrochemistry, for Reference Electrode signal conditioning inside a Li-ion battery cell. In the new field of the Reference Electrode (RE)...
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, Experience and Qualifications PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular
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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 understanding and treating leukemia and it fosters a multidisciplinary and collaborative environment with 16 research groups, 14 clinical services or clinical biology laboratories. The Institute hosts one
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(LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in
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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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COMMUNICATION AND PUBLIC ENGAGEMENT Active scientific mediation with the general public on viral pandemics will be a core mission from the beginning. This will leverage: • SUNSET program (Sciences with and for
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genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology that may then also be used to develop
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! Education Master's degree (Bac+5) in telecommunications, computer science, or a related field, with an interest in AI, cognitive networks, or connected vehicles. Experience and skills Prior experience with