254 data-science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Germany
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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data science, mathematics and application support. The Large Scale Data Science department develops machine learning techniques and other methods and tools for the management, analysis and modelling
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Ginkgo (https://github.com/ginkgo-project/ginkgo), with the aim of improving the efficiency of scientific simulations in applications such as cardiac electrophysiology (MICROCARD: https://microcard.eu
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a
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, Informatik, Data Science oder einem verwandten Fachgebiet - Fundierte Kenntnisse im Bereich Machine Learning / Natural Language Processing, idealerweise mit Fokus auf Large Language Models - Erfahrung in
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activities as well as copies of the certificates should be submitted online via https://berufungen.uni-stuttgart.de by 15 November 2026 addressed to the Dean of the Faculty of Computer Science
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, communications, highly scalable data science, mathematics and application support. The Large Scale Data Science department develops machine learning techniques and other methods and tools for the
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Grafing bei München, Bayern | Germany | about 2 months ago
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description: PhD Candidate (f/m/x) in Data Science for
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Join the Cluster of Excellence "BlueMat: Water-Driven Materials" ( www.tuhh.de/bluemat ) and collaborate with a dynamic, interdisciplinary team that combines science, sustainability, and technology to
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)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: [email protected] More Information https