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teaching and curriculum development. Your qualifications PhD in computer science, data science, applied mathematics, physics, or a related field. Strong expertise in machine learning and deep learning
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: applicants should hold a PhD degree in quantitative science such like bioinformatics, physics, computer science or a comparable field proved outstanding skills in computer science, physics, mathematics, or a
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meetings, conferences, and as scientific papers Contribute to educational events, such as courses and hackathons Your Profile: Excellent Master or preferably subsequent PhD degree in Computer
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Fraunhofer IOSB. You will be part of a large, interdisciplinary team from the fields of production engineering and computer science and will explore fundamentally new approaches in seven sub-projects to make
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molecular data Your profile PhD in computer science, mathematics, physics or related fields Experience in machine learning and AI, with proven codebase in public repositories Experience or strong willingness
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 2 months ago
computational methods. Why “AI assisted Historical and Comparative Linguistics”? This project aims to investigate the potential of artificial intelligence (AI), e.g. large language models, to assist and enhance
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, the informatics department of the University of Kiel, and the remote sensing company EOMAP GmbH & Co. KG. Who are we? The IOW is an independent research institute of the Leibniz Association for which equal
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
, and computational health. We particularly excel in the fields of basic research, bioengineering, artificial intelligence, and technological development. Through this research, we build the foundations
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26.02.2025, Wissenschaftliches Personal We are looking for a postdoctoral researcher (f/m/d) with a PhD in Simulation Technology, Computer Science, Mechanical Engineering, or a related field. About
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Review, update, and consolidate methodologies, including Bayesian methodologies, in the context of material balance evaluation Your Profile: PhD in applied mathematics, computer science, physics, or in