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Field
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engineering, bioengineering, biomaterials, materials science, tissue engineering, biotechnology, or a related field Hands-on experience in 3D bioprinting Experience in mammalian cell culture Experience in
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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and
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focuses on the mechanisms regulating cardiovascular repair and aging. Where to apply Website https://hectorfellowacademy.applicationportal.org/ Requirements Research FieldMedical sciencesEducation
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 18 days ago
supervised by Prof. Dr. Serena DeBeer and Dr. Olaf Rüdiger. Your tasks The successful candidate will carry out experimental research aimed at understanding electrocatalytic heterogeneous materials in-situ and
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, and publication of the results in English Your Profile A successful master’s degree in chemistry or a comparable field of study Extensive and proven experience in organic chemistry and/or polymer
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work on the isolation, characterization and functional analysis of intestinal bEVs from human stool samples. Experimental work will include filtration and gradient ultracentrifugation for vesicle
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technical English. Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it. Funding The appointment provides full financial coverage through a
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experiments can generate useful insights, yet those insights are often difficult to evaluate, preserve or share across organisations. REGULAIRE, Regulatory Learning for the Governance of Transformative
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
training program that promotes cross-disciplinary collaboration and provides in-depth scientific insight as well as a systematic approach to marine data science. For more information, visit: https
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simulation and machine learning funded by the Klaus Tschira Foundation. Profile Solid grounding in statistical mechanics Experience with machine learning and/or molecular simulation; strong Python and PyTorch