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experiments. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are currently looking for a PhD student to join our team and help us make exciting new advances in applications
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/ PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting as soon as possible. The position is initially limited for 3 years (PhD
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whether it may fit your interests, please read some recent papers by our lab before you apply. Additional Information CISPA and the University of Stuttgart have a large interest in increasing the number
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on these topics. One position is in the "X‑Ray Nanoscience and X‑Ray Optics" group and the other is in the "Computational Imaging" group. The PhD projects are embedded in the frame of the ErUM data project CmarT
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infectious diseases, antimicrobial resistance, medical decision making and population health metrics. Interest and experience in empirical applications of economic theory, the analysis of large health data
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machine‑learning or data‑analytics tools High‑level programming skills (Python, R, Julia) to build, test, and optimize models of geochemical systems Interest in large‑scale computational simulations (e.g
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comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found here Salary and social benefits in accordance with the collective
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Description We have an open fully funded PhD position for 3 years with the possibility of extension. The successful candidate will be part of a growing team in the Institute of Biochemistry, group
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
). The successful applicants will be part of a large, multi-disciplinary team located in Tübingen and Paris, with PhD research projects in neuroscience and ophthalmology, covering a wide range of interrelated
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offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong focus on computational science and an interest in training