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or equivalent in Mathematics, Telecommunications and Computer Science. Experience: The ideal candidate should have some knowledge and/or experience in several of the following topics: Experience with Machine
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. As part of the DFG-funded
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actively to our weekly group meetings and some administrative duties - Complete the training programme for PhDs at the University of Vienna - Disseminate and present your work and represent the group through
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
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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