1,553 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" positions in Germany
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geosciences, preferably in the fields of geomorphology, tectonics or structural geology Proven experience in independent research and publications The ability to teach in German (at Bachelor level) is a
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-of-the-art computational text and data analysis methods Development, application, and validation of machine learning/deep learning methods for addressing specific research questions within the project Design
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Your Job: In this position, you will be an active member of the SDL “Fluids & Solids Engineering” and will collaborate strongly with the SDL “Applied Machine Learning”. You will have the following
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The analysis of generated data and communication within an interdisciplinary team made up of people working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab
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Biochemistry (IPB, https://www.ipb-halle.de/en/ ) the following position is to be filled ideally on October 1st, 2027: Full Professor (Chair, W3) of Chemistry of Natural Products and Bioactives und Director at
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to apply E-mail lena.richter@helmholtz-berlin.de Website https://recruitingapp-5181.de.umantis.com/Vacancies/2788/Description/2?lang=eng Requirements Additional Information Website for additional job details
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of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail recruitment@desy.de Website https://www.desy.de/career/job_offers/index_eng.html?joboffer
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scientific organisation. Where to apply E-mail lena.richter@helmholtz-berlin.de Website https://recruitingapp-5181.de.umantis.com/Vacancies/2778/Description/2?lang=eng Requirements Additional Information
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science (for example, but not limited to, data science, machine learning, statistics, computer science, mathematics, etc.) acceptance by a PhD supervisor with examination admission for PDS and formation
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partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course