57 programming-"the"-"DAAD"-"EURAXESS"-"IDAEA-CSIC"-"Prof.-Dr"-"UCL" positions at Technical University of Munich
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understanding of business and marketing concepts is essential. Good programming skills in at least one programming language e.g., Python. Experience with machine learning or LLM methods will be a plus. Enthusiasm
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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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, 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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hubs for STS, we are a lively intellectual community of 80+ researchers from numerous disciplines and fields of specialization. As a department, we deliver 2 Master’s programs and design STS content
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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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essential. Good programming skills in at least one programming language (e.g., Python). Experience with machine learning, LLMs, or HCI/user study methodologies will be a plus. Strong interest in acquiring and
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technologies to fundamental physics questions. The advertised positions will be part of the project “QS-Gauge: quantum simulation of lattice gauge theories”, funded by the Emmy Noether programme of the DFG
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programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
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participation in the related Graduate School training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics, business studies, agricultural sciences with
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prestigious Humboldt Research Fellowships for the Logistics and Supply Chain Management research group at TUM School of Management. With the scouting program, the foundation aims to attract highly talented