1,549 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions in Germany
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documents by March 26, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu
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your online-application as one single pdf-file (http://www.ipk-gatersleben.de/en/job-offers/) by 25.03.2026. If you have questions or require more information, please contact Kerstin Schweigert (jobs
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application. Where to apply Website https://www.academiceurope.com/ads/scientific-project-coordinator-in-part-time-… Requirements Research FieldMedical sciences » OtherEducation LevelMaster Degree or equivalent
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Solid knowledge and experience with CAD (Computer-Aided Design) programs and the creation of technical drawings Fluency in spoken and written German (min. CEF Level C1) Fluency in spoken and written
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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data handling Strong self-initiative and willingness to learn and to quickly gain an understanding of new subject areas Joy in working independently, as well as within a team Strong problem-solving
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in
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annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation. Where to apply Website https://www.fz-juelich.de/en/careers/jobs/2026D-017 Requirements Additional
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funding via an employment contract with the Max Planck Institute for the History of Science (MPIWG) or with Technische Universität Berlin and will have the possibility to teach. Two employment contracts
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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