96 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "L2CM" PhD positions at Nature Careers
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Job Id: 11899 Fixed-term (3 years) | Part-time (65%) | Salary according to TV-L E13 | Department of Neurology (Chair: Prof. Dr. Dr. S. Meuth) We are UKM. We have a clear social mission and, with
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. For additional information, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching and administration. This means: • You are involved in a well-funded
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of young scientists (Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https
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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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such as sports programs, job ticket, company events, cafeteria, and emergency childcare For inquiries, please contact: Univ.-Prof. Dr. Markus Missler, T +49 251 83 50200, Markus.Missler@uni-muenster.de
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programming skills in Matlab or Python Relevant experience in the analysis of M/EEG data Strong communication and interaction skills as well as empathy Enthusiasm for scientific work in an interdisciplinary
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opportunities Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) A respectful and appreciative work environment within a diverse team For inquiries, please contact: Dr
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on healthcare, research, and teaching, we bear a unique responsibility - ideally with you on board! The position is located in the research group of Dr. med. Alexander Busch, PhD and embedded in the DGF-funded
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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
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board! The position is located in Prof. Dr. Johannes Eble’s research group on cell-matrix interactions, and is embedded in the DFG-funded Collaborative Research Centre 1748 ‘Principles of Reproduction