176 learning-"https:"-"Ikerbasque---Basque-Foundation-for-Science" PhD positions in Germany
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spoken and written English · self-motivated and eager to learn · can work both independently and as part of an interdisciplinary team The candidate may have: · experiences in
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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 team
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Description This doctoral position is part of GRAIL ("Gamma Radiation from the Atmosphere for Investigation and Learning"), a prestigious Horizon Europe Marie-Skłodowska-Curie Action Doctoral Network (MSCA-DN
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Description This doctoral position is part of GRAIL ("Gamma Radiation from the Atmosphere for Investigation and Learning"), a prestigious Horizon Europe Marie-Skłodowska-Curie Action Doctoral Network (MSCA-DN
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Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences
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diffraction data where the information extends towards 3-d space. Machine learning offers promising approaches for the solution of complex problems of disorder, ultimately aiming at general and automated
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experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image data analysis A willingness to engage in interdisciplinary scientific work
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At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position in Machine Learning for Single-Cell Genomics (f
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dedicated to advancing cognitive robotics. The network trains early-stage researchers to develop robots that can interact, learn, and adapt in real-world environments while ensuring quality, safety, and