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Systems (MAS) theory: cooperation, negotiation, coordination, and competition. - Game theory and reinforcement learning for distributed optimization for agents' properties (e.g., perception, reasoning
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doctoral schools in the natural sciences and one in the humanities and social sciences as well as numerous smaller research training groups. Advising The consulting team of the Graduate Academy’s Service
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, physical modelling experiments, field investigations, and/or numerical modelling. The specific focus area for the research can utilize any of these tools, or their combinations, and will depend
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employee, the staff member is entitled to numerous benefits associated with employment at KU Leuven (e.g., a wide range of free courses and training, bicycle and bicycle allowance, train subscription, etc
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assessment, demonstrating the impact of advanced process control on FGMs · Possible collaboration with ongoing research, including validation of numerical models, reduction of residual stresses through thermal
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
for acceleration of parallel applications in the High Performance Computing (HPC) environment, · work in the international team focused on development and optimization of parallel codes under national and
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find solutions that optimally promote their abilities. The same applies if they do not meet all profile requirements due to a disability. Interested?Then we look forward to receiving your application and
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Heidelberg University is a comprehensive university with a strong focus on research and international standards. With around 31,300 students and 8,400 employees, including numerous top researchers
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Non-coding RNAs (ncRNAs) play a central role in gene expression regulation and in numerous cellular and molecular processes. Their dysregulation is implicated in various pathologies. This doctoral
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University Medical Center Utrecht (UMC Utrecht); yesterday published | Netherlands | about 2 months ago
fundamental methods research to guide in these analytical challenges. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant