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Field
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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, particularly in areas such as machine learning theory, probability theory, optimization, and linear algebra. Experience with random matrix theory is a plus. Programming experience in Python. Familiarity with
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interface of machine learning, deep learning, data science and applications in forest sciences. Together with the Director, you will further develop KIForst as a faculty-wide platform for methodological
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Contribution to research on the integration of machine learning into quantum chemical methods and molecular simulation. A particular focus will be on the development, application, and evaluation
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robot Imitation Learning for Humanoid Robots: robots learn fetch-and-carry tasks by imitating human demonstrations Teleoperated Monitoring with a Humanoid Robot: control and monitor a humanoid robot
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of the Max Planck Society for the Advancement of Science. The Department of Machine Learning and Systems Biology , headed by Prof. Dr. Karsten Borgwardt, invites applications for a Postdoctoral Research Fellow
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In this position, you will join our Simulation and Data Lab for AI and Machine Learning for Remote Sensing . The lab advances interdisciplinary research and operational services by combining
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methods for the animation of 3D human avatars using Python and Pytorch Capturing of training data using Motion Capture Systems Setting up and evaluating experiments on machine learning model performance
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working with empirical data; experience with statistical modelling, computational methods, machine learning, or causal inference is particularly welcome Programming skills (e.g., Python, R) - Experience in
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of the Max Planck Society for the Advancement of Science. The Department of Machine Learning and Systems Biology , headed by Prof. Dr. Karsten Borgwardt, invites applications for a Postdoctoral Research Fellow