27 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" "Dr" "St" "St" Postdoctoral scholarships in Germany
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/11250664 https://www.jmlr.org/papers/v26/25-1161.html Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in engineering, computer science, or related disciplines (typically
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with the document issued in the original language. Submit the application online. Please note: If you have any technical questions or problems your local information and advice centres could not help you with, please
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data from the European XFEL facility at DESY. Project website: https://www.mpinat.mpg.de/628848/SM-Ultrafast-XRay-Diffraction Your profile Eligible candidates have strong skills in computational physics
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Universität München TUM School of Engineering and Design Department of Aerospace and Geodesy Earth System Modelling Group Prof. Dr. Niklas Boers Lise-Meitner-Str. 9 85521 Ottobrunn Data Privacy Notice: When
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PDF file to: ausschreibung01-26@mpinat.mpg.de Apply now Max Planck Institute for Multidisciplinary Sciences Department of Theoretical and Computational Biophysics Prof. Dr. Helmut Grubmüller Am Faßberg
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/264ffa19ca70e3ec41032fe6a4802932b5eda4e6.pdf https://ieeexplore.ieee.org/document/10068193 Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically
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details on the participating institutions, information on the sponsorship programme and the relevant contacts here . Application Deadline Application deadlines differ and may be requested at the individual
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for an interdisciplinary “bridge-builder” who strives for Scientific Excellence and Real-World Purpose. ● Background: HCI (Human-Computer Interaction), Computer Science, Ethnography, Sociology, or a related
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available in the further tabs (e.g. “Application requirements”). Programme Description The Grant Programme of the Berlin House of Representatives awards funding to young researchers in any subject area from
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expertise. The Clinical Epidemiology Unit (clinicalepi.de ) uses and develops modern statistical and mathematical methods for the analysis of primary and secondary data. A particular focus of the Unit is the