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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
biologists, medical imaging & computer science experts. The position foresees occasional traveling to and interactions with partner groups in Europe. Researchers are supported by easy access to scientific and
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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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and Universe sciences independently. The scientific excellence of the candidate, the relevance of the proposed research program as well as its adequacy with the scientific scope of the establishment
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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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Accountabilities PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular biology. Languages
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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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(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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content imaging, multi electrode array technology or reprogramming of somatic cells into pluripotency is necessary. Experience in computational image analysis and aging research is a strong plus. A
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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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Ph.D. in Bioinformatics, Population Genetics, or Statistical Genomics and a first post-doc experience. Strong experience in next-generation sequencing (NGS) analysis in a Cloud computing environment is