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Apply directly through the public service employment portal at: www.interamt.de Apply now interamt.de Our team at the “Centre for Artificial Intelligence in Public Health Research” is looking forward
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and relevant science. We are playing a decisive role in shaping far-reaching processes of global change – from energy transition to artificial intelligence – through outstanding scientific knowledge and
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. Applicants are expected to provide evidence of experience through relevant publications and research activities (including successful acquisition of third-party funding) in image analysis using artificial
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to the success of the whole institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Robotics offers a position as Research Associate / PostDoc (m/f
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techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics; 3-year funding to work on your doctoral project. Up to two additional positions will be funded by a DAAD
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Charité Mitte; Campus Virchow-Klinikum, Wedding; Campus Benjamin Franklin, Steglitz; Campus Berlin Buch Jobcode 5880 Salary group E15 Six Independent Fellow Positions in Artificial Intelligence for Human
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modeling approaches and artificial intelligence methods, particularly machine learning, is highly desirable. Application areas for these methods include theoretical spectroscopy, the prediction of reaction
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with a strong background in bioinformatics, computational biology, or computer science, and with demonstrated expertise in artificial intelligence (AI) – particularly in large language models (LLMs
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
quality. Secondly, different machine learning strategies based on traditional supervised learning techniques (e. g. random forest (RF), artificial neural network (ANN)) will be applied using the parameters
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, moorings, gliders, turbulence probes), in modern data analysis, artificial intelligence, data science methods, or in the integration of data and models into digital twins of the ocean is highly desirable