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13.01.2020, Wissenschaftliches Personal PhD position at the Chair of Algorithms and Complexity. Candidate shall work on approximation algorithms for scheduling problems in parallel and distributed
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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
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schools. Professor Hutzschenreuter intensively supports you on your research project. You will work along a structured project plan with clear milestones for each semester. As part of the doctoral studies
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Science, Transportation Research Part B, or conferences such as SIGKDD, ITSC, CIKM) Strong programming skills in Python Strong interest in scientific research with the goal of obtaining a doctoral degree
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engineering, or geodesy with a specialization in Deep Learning, or in a comparable thematically appropriate discipline. In-depth skills in programming and working with Deep Learning methods. Expertise in
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cooperations efficient and productive. As Research Associate you will also support our teaching activities in several Bachelor and Master programs offered by the School of Engineering and Design and the School
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or Postdoc Position in Numerical Mathematics m/f/d, 100%, 2 years+ As part of the second phase of the DFG funded Priority Programme SPP2311, the Chair for Numerical Mathematics under the leadership
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research in the area of entrepreneurship and family enterprise while participating in the doctoral program. TUM School of Management at TUM Campus Heilbronn invites applications for a Research Associate (m/f
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or engineering. Fluency in spoken and written English is required. Proficient in at least one programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and