134 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at Nature Careers in Germany
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information, please visit our website: https://ekfs.de/en/current-topics/call-for-proposals/else-kroner-excellence-grants-2026
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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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regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is April 11, 2026. Please apply
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“Applicant Form” of the Medical Faculty Mannheim for W3 professorships (see https://www.umm.uni-heidelberg.de/karriere/berufung/ ). The application is to be submitted exclusively in electronic form, both
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of Excellence. A willingness to acquire externally funded projects, supervise doctoral candidates, and engage in interdisciplinary collaboration is required, as is an active commitment to open science practices
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programme Biochemistry & Molecular Biology, and other relevant programmes at the University of Bayreuth. The ability to teach in English and German is expected. The general administrative requirements
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The Max Planck Institute of Immunobiology and Epigenetics in Freiburg (Germany) has an opening for a scientist in proteomics in the research group of Dr. Gerhard Mittler (https://www.ie
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stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file tolinda.petersohn@tu-dresden.de or to: TU Dresden
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exclusively in electronic form and in accordance with the “Applicant Guideline Template” and the “Applicant Form” of the Medical Faculty Mannheim for W3 professorships (see https://www.umm.uni-heidelberg.de