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, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The project focuses on the comprehensive characterisation of the zygotene cilium and
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(CeRA) specializes in research on male reproductive function. In a multidisciplinary project funded by the Federal Ministry of Research, Technology and Space (BMFTR), we want to research novel approaches
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DTU Tenure Track Researcher in Experimental High Pressure Phase Behavior for CO2 Storage and Othe...
Further information may be obtained from Prof. Wei Yan, email: weya@kemi.dtu.dk , website: https://www.kemi.dtu.dk/english/research/physical-chemistry/wei-yan-group . If you are applying from abroad, you
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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. At our location in
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PhD position in Metabolic microbiome modelling Research Group Medical Systems Biology, Institute of Experimental Medicine The University Medical Center Schleswig-Holstein is one of the largest
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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. At our location in
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://moleculargeo.chem.umu.se ) at the Department of Chemistry (https://www.umu.se/chemistry ), with many years of experience in the field. In addition to the group’s own resources, the student will make use of several
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and data-driven developer tooling. More precisely: The candidate should hold a Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Computational Linguistics, Data Science
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support, lectures by international experts, and annual PhD symposia. Make sure to see the DTU website to find out more: https://micro-path.uni.lu The Luxembourg Institute of Science and Technology (LIST) is
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About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems