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Field
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background in mathematical optimization and modeling • Excellent programming skills (Python, Matlab, Julia, or similar) • Interest in energy systems, electric mobility, and battery technologies • High level of
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characterisation) and WP3 (toxicity) partners to ensure appropriate integration of exposure and effect data. Contribute findings to INQUIRE's cross-project synthesis and to the "INQUIRE Action Plan for Promoting
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with machine
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23 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Engineering » Electrical engineering Engineering » Mechanical
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and Mathematical Sciences (1) Division of Fundamental Mathematical Science (Division Director: Satoshi Iso) (2) Mathematical Genomics RIKEN ECL Research Unit (RIKEN ECL Unit Leader: Speidel Leo) (3) AI
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science, psychology, sociology, communication, human-computer interaction, statistics, applied mathematics, or a closely related discipline. Required Qualifications: Evidence of the ability to define and
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learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern
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at the intersection of applied mathematics, computational science, and high-performance computing. The successful candidate will help develop advanced scientific computing methods and deploy them on state-of-the-art
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energy-system modelling, mathematical optimization, control, digital twins, or related areas. Strong programming and numerical modelling skills using Python, MATLAB/Simulink, Julia, hardware in the loop
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(UTC) Country Belgium Type of Contract To be defined Job Status Full-time Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme