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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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of machine learning, numerical analysis, optimisation, or related fields. Funding notes: Funding is available through the School of Mathematics for a suitably strong candidate. The scholarship will cover
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is home to a vibrant and creative population that hosts numerous festivals and markets throughout the year. Application procedure Before applying the candidates are advised to read the Faculty
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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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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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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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Engineering (CVE), which focuses on the study of biomedical flow systems and cardiovascular devices. The research group operates a well-equipped cardiovascular flow lab and a computational lab for the numerical
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functionalized lignin as a precursor for carbonaceous structures – Produce optimized ink formulations for laser-induced graphitization processes using functionalized lignin oligomers – Characterize the materials
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(e.g. Python, MATLAB or equivalents); Interest in applied thermodynamics, numerical simulation and sustainable energy systems. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7274-SILLAS