50 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"O.P"-"Prof.-Dr"-"FEMTO-ST" positions at Technical University of Munich
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and networking opportunities within the Munich AI ecosystem and within structured graduate programs: the Munich Centre for Machine Learning (MCML), the Munich Data Science Institute (MDSI), the local
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in production engineering issues and their investigation Enjoyment of supervising and programming technical systems Purposefulness and independent working style Creativity and willingness to experiment
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Engineering, or a related discipline. • Strong expertise in machine learning, spiking neural networks, and computer architecture. • Excellent programming and research skills. • Interest in translational
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related discipline. Strong expertise in machine learning, spiking neural networks, and computer architecture. Excellent programming and research skills. Interest in translational research and
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related discipline. Strong expertise in medical imaging and/or machine learning. Excellent programming and research skills. Interest in translational research and interdisciplinary collaboration with
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reinforcement learning Proficiency in programming (C++, Python), and experience with ROS Experience with simulation tools such as MuJoCo, Gazebo Strong project management and mentoring skills Excellent command
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software programming in C++/Python, ROS and MATLAB. Excellent command of English; German language skills are a plus. High motivation and the ability to work independently as well as within an international
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related field PostDoc track: PhD in a relevant discipline with a record in medical image analysis / ML Strong programming skills (e.g., Python, PyTorch/TensorFlow; image processing frameworks) Background in
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, Machine Learning, or a related field. Excellent programming skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow). A solid understanding of recommender systems, deep learning, and
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knowledge of quantitative methods, particularly in statistics and econometrics; experience in machine learning is a plus Background in business/management/behavioral science Experience with programming