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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Find2Fix will engineer the first open-source tool for the entire process
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as well as the reactor and process simulation and analysis. Details will be adjusted collaboratively as the project progresses. The project has access to two experimental reactor setups, common
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7 Sep 2025 Job Information Organisation/Company Wageningen University & Research Research Field Economics » Food economics Engineering » Industrial engineering Engineering » Simulation engineering
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12 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Physics » Optics Physics » Quantum mechanics Researcher Profile First Stage Researcher (R1
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computing. The long-term goal of the project is to develop nanophotonic on-chip devices for integrated sensing and neural computation, inspired by the insect brain. It will also be naturally connected to new
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Framework Programme? Other EU programme Reference Number IT057-25-15932 Is the Job related to staff position within a Research Infrastructure? No Offer Description PUBLIC NOTICE I publicly announce that, by
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 11 days ago
Researcher (R1) Country Germany Application Deadline 8 Oct 2025 - 10:49 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 1. By my order of 9th September 2025, in
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the areas of fluid dynamics, turbulence and net-zero combustion. There is substantial scope for the student to direct the project with the main focus on (i) Generating an advanced Direct Numerical Simulation
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems