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Field
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27 Jan 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Modelling tools Computer science » Programming Engineering » Civil
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and the Foundation for Science and Technology (FCT). Application deadline: April 08th to April 21st, 2026 Scientific area(s) The scientific areas of this contest are Public Health Applicable legislation
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processing, algorithm design, optimisation and simulation, software engineering and automation and control systems. An overview of the current PhD research projects is given here: https://www.dashh.org
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simulation of time dependent non-linear PDEs has emerged as a key technology. A main task of this employment is the development and analysis of numerical methods for wave propagation problems. Particular focus
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transition that not only enhances the productivity of engineering teams but also expands the complexity of solvable design problems. We have two exciting PhD positions at the intersection of formal software
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Systems , the Technical Faculty of IT & Design and the Department of Energy , the Faculty of Engineering and Science. One PhD position will be hosted in the Cybersecurity Research Group at the Department
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17 Jan 2026 Job Information Organisation/Company Tallinn University of Technology Research Field Architecture » Other Computer science » Other Engineering » Civil engineering Geography » Human
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/Molecular Physics , Attosecond science , Biological Physics , Biology , Biophysics , Biophysics/Soft Condensed Matter Theory , Biotechnology , Casimir effect , Chemical Engineering , Chemical Physics
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
are modeling human and animals shape and behavior. In the Eye Movement Study, we are closely collaborating with Assistant Professor Xucong Zhang (Delft University of Technology) to develop systems and algorithms
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. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in R and/or