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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail personal@awi.de Website https://recruitingapp-5442.de.umantis.com/Vacancies/2147/Description/2?lang=eng Requirements
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demographic change, characterised by an ageing population and declining birth rates. This development is accompanied by an increase in age-related chronic diseases – and thus a significant growth in the need
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scientist with a strong background in: MR Physics, Data Science, Biomedical Engineering, or a related discipline Solid experience in MRI acquisition and data analysis, ideally in cardiac and/or brain imaging
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, workshops, and seminars • Curate data, including the deposition of datasets in data repositories • Actively take part in group and project meetings • The possibility to develop and conduct own third
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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
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and names and addresses of three referees and be send by e-mail until April 11st 2026 to Prof. Christoph Wilhelm (christoph.wilhelm@uni-bonn.de ). Webpage: https://www.ukbonn.de/en/icccp/research
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26764 Postdoctoral Research Opportunity in Bioinformatics (m/f/d) RNA modification and 5′ Cap Analysis
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, certificates, references, and publications) by 13 April 2026 to the following form: https://wkf.ms/4beNUNa Equal opportunity: The Technical University of Munich seeks to increase the proportion of women in
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-MS. (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). Ideally, the applicant takes over the co-supervision of selected PhD candidates. We are looking for an individual with a
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning