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macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie
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for a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1
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Factory and the IIM Seminar Room. The Schumpeter Laboratory for Innovation offers state-of-the-art technologies in physical and digital prototyping. The LEAD Factory is a flexible and Learning- and Model
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dynamics to longer-term fluctuations driven by biological factors and learning. (3) Design and coordinate a large-scale data collection using a measurement-burst EMA approach to test the models and address
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involve courses taught both in English and German. The position (50 %, E 13 TV-L) is available for an intial three-year period which can be extended and should be filled as soon as possible. The successfull
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applied methodologies in Data and Image Analysis, Computational Imaging, Statistical Learning, Uncertainty Quantification, Robust Estimation, and Deep Neural Networks. The group combines expertise in
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. Gramaglia, P. Serrano, C. Mannweiler, “ATELIER: service tailored and limited-trust network analytics using cooperative learning”, IEEE Open Journal of the Communications Society S. Henri, G. García-Avilés, P
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
leverage machine learning techniques to bypass IO bottlenecks in the context of physics simulation on high-performance computing (HPC) clusters. This work is thus placed in a broader ``Machine Learning for
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 2 months ago
, · will to work in an international environment which requires good communication skills in the English language both spoken and written, · ability to learn new technologies and to work in a dynamic
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research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data Analytics and Management; (iii) Computer Vision and Pattern Recognition; and (iv