434 programming-"the"-"DAAD"-"IMPRS-ML"-"Virginia-Tech"-"U"-"FEMTO-ST" "Prof" positions in Germany
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Field
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-source tools related to the project. Your Profile Required Qualifications PhD in Bioinformatics, Computational Biology, Computer Science, Physics, or a related field. Strong programming skills (e.g
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to Order”, the Carl Zeiss Center for Synthetic Genomics and several CRCs. Further details of our research, teaching programs, and scientific facilities, are available on our website https://www.zmbh.uni
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at GESIS – Leibniz Institute for the Social Sciences (Prof. Dr. Beatrice Rammstedt) and ifo Institute for Economic Research (Prof. Dr. Ludger Wößmann). Based on PIAAC and NEPS data, SKILLS will investigate
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E-Mail in einer zusammenhängen PDF-Datei an den Dekan der Fakultät für Wirtschafts- und Sozialwissenschaften, Prof. Dr. Timo Goeschl zu senden (jobs@wiso.uni-heidelberg.de ). Für Fragen zur
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under the supervision of Prof. Dr. Lisandra Flach, Chair of the ifo Institute at LMU. Participation in the structured doctoral program at the Munich Graduate School of Economics (MGSE) at LMU
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Faculty
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 15 hours ago
, or a related field, as well as a keen interest in neuroscience. Good computer programming skills (e.g., C++, Matlab, Python) are necessary. The ideal candidate would have experience in EEG or MEG (or
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software systems for healthcare applications Experience with clinical trials Strong programming skills in python Strong programming skills für mobile and server side software (e.g., Swift, Kotlin, Javascript
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international research network in the field of educational research with an integrated PhD training program. The successful candidate is expected to specialize in research methods (potential areas of expertise
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related field Demonstrated experience in geospatial analysis (GIS) and proven skills in hydrogeological or hydrological modeling Proficiency in programming (e.g., Python) Ability to handle large datasets