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Management in the Alps will be installed at the TUM School of Life Sciences. The goal of the new centre is to bring together different disciplines and perspectives to further the sustainable management
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temporal dynamics and generating accurate user behavior embeddings from a sequence of items? How do different training strategies—such as sequential prediction, contrastive pretraining (e.g., InfoNCE loss
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tools (e.g., Python programming) is an advantage. You enjoy working in an international team and have good communication skills. Proficiency in spoken and written English is required. For more information
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to measure the effectiveness and usability of different human-AI collaboration models in software engineering? How can we support not only professional developers but also novice programmers in creating
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interdisciplinary collaborations such as the Collaborative Research Center 1371 “Microbial Signatures – Functional Relevance in the Digestive Tract” (https://www.sfb1371.tum.de/) and access to different core
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, giving quantitative insight into physical processes at the nanoscale. The candidate will develop the next generation of neural network potentials and apply them to problems from different scientific fields
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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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(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from
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% international students in the MA program. The visual computing lab embraces its diverse culture, and is proud to host PhD students from over 10 different countries. Our lab language is English. The position is
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with large-scale data analytics frameworks (Hadoop, Spark, Flink, etc.) is desired - Interest in the development of software systems, very good knowledge and skills in programming with standard