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Field
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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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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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/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
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at the Department of Engineering Cybernetics, will be announced separately. Your immediate leader will be the Head of the Circuit and Radio Systems group. About the project By analyzing the energy in signals
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, engineers) and 100 contractual staff (PhD students, postdoctoral researchers, engineers, and technicians). The institute also hosts dozens of interns and visiting scientists each year. IGE is spread across
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to help develop these new manners by which to promote bonds as kernels in the interpretation of chemical simulations. For this purpose, novel theory and simulation software will need to be developed
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6 Feb 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Mathematics » Algorithms Mathematics » Discrete mathematics
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(ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases. Digital