243 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Nature Careers in Germany
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State programme promoting young researchers (Tenure-Track Programme). The professorship is affiliated with the department of Medical Systems Biology (https://www.med.uni-wuerzburg.de/en/systemimmunologie
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are invited to apply for the 3-year Clinician Scientist program of the Leipzig University funded by the Deutsche Forschungsgemeinschaft (DFG). Tasks The combined clinical and scientific program focusses
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If you hold a PhD or master’s degree with an outstanding track record or strong interest in the fields of drug delivery science, pharmaceutical technology, or gastrointestinal physiology, we invite you to
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of Science, School of Computer Science and Engineering, and School of Business, Social and Decision Sciences. Our principles are first-class teaching and research, international diversity, and
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: Candidates are expected to have: A PhD in physics, chemistry, materials science, or a related field with an experimental focus. A proven track record of innovation in nanoscale water science or related areas
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programs, seminars and conferences Your Profile Master's degree in computer science, mathematics, physics, bioinformatics, computational biology, or similar background with a focus on bioinformatics or data
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addition, you will be involved in the implementation and execution of courses and administrative tasks. Your profile PhD in physics experience investigating (nanoscale) magnetic systems at synchrotron
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enquiries can be directed to Prof. Kai Wirtz (kai.wirtz@hereon.de ). Your profile MSc and PhD in environmental sciences, physics or related disciplines with experience in programming languages (e.g., Fortran
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degree in molecular biology, cardiovascular medicine, biology or computer science Strong background in bioinformatics, mass spectrometry, epigenetic and NGS approaches preferred At least one first-author
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program centered on communication biology and dedicated to understanding cardiovascular functions on a systemic level during homeostasis, ageing and pathological conditions. It will exploit its findings in