1,227 parallel-computing-numerical-methods "Simons Foundation" positions in Netherlands
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limitations —driven to explore solutions that go beyond what verification alone can achieve. This PhD project focuses on developing analysis and program repair techniques that enhance software interoperability
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within the context of the EU-funded SmartEM project , which aims to use AI-assisted methods to create industrial surrogate models from heterogeneous data sources. In SmartEM, we you will have the
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28 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science Researcher Profile Recognised Researcher (R2) Country Netherlands
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We invite applications for a fully funded PhD position in the field of numerical modelling of iron electrodeposition, i.e., multiphase flows involving phase change, using fully resolved CFD methods
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with disabilities through inclusive Human-Computer Interaction (HCI) and participatory design methods. This PhD project will focus on methods and experiences in co-designing with stakeholders, especially
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the EAA and ensuring equal participation in society. The ideal candidate will have a strong interest in accessibility, design methods, human-computer interaction, artificial intelligence, and human-centered
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Image Analysis Group (DIAG) at Radboudumc. We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided
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information science. Good knowledge of mathematical and theoretical physics methods of describing random processes and random fields. Experience with analytical and/or numerical methods for modelling qubit dynamics
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science, mathematics, or a related field. Strong background in quantum physics, mathematics, and quantum information science. Good knowledge of mathematical and theoretical physics methods of describing random processes
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of Delft Enterprises, the tech transfer office of TU Delft. Biotech Booster Program The goal of the Biotech Booster program is to increase the return on the valorization of scientific research and to