1,550 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions in Germany
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. Candidates who are able and willing to teach in both English and German are preferred. The position also requires additional postdoctoral qualifications. These should be in the form of a habilitation
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, Cambridge, Heidelberg, Innsbruck, and Munich. The Stegle group is jointly based at DKFZ and EMBL and embedded in Heidelberg’s vibrant ecosystem for data science, machine learning, and computational biology
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documents by February 16, 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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference. Learn more about diversity at Helmholtz Munich Our commitment Helmholtz Munich
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Leipzig, Sachsen | Germany | 3 months ago
applicants with physical disabilities will be given preference. Learn more about diversity at Helmholtz Munich Our commitment Helmholtz Munich Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 15 hours ago
TU Dresden or UCL may attend online. Application deadline See our website (https://imprs-coni.mpg.de/application-dates) for further information. Tuition fees per semester in EUR None Combined Master's
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Days and Welcome Guide: https://go.fzj.de/welcome KNOWLEDGE & DEVELOPMENT: Your professional development is important to us – we support you specifically and individually e.g., through training and
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well as in leading (research) teams. In the area of teaching, we are looking for a person who can create an inspiring teaching and learning environment that prepares students for entrepreneurial activities in
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Pandemic Disease in Preindustrial Europe (1300–1800): Combining History, Machine Learning, and the Natural Sciences (EUROpest)”, funded by the European Research Council (ERC) as an ERC Synergy Grant
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take place monthly. A lecture series on theoretical and experimental neuroscience as well as machine learning is addressed primarily to doctoral students. Lectures are held by principal investigators