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. The group consists of doctoral and post-doctoral researchers from diverse backgrounds. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects Successful candidate
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‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ
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nucleosynthesis in violent episodes suffered by ancient stars" (with Dr Carolyn Doherty) "Applying 3D stellar hydrodynamics findings to 1D stellar codes: Improving the modelling of convection in stars" web page
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tools from precision tuning and other approximate computing techniques to the problem of optimising the choice for error correction codes in logical qubits implementations. These techniques should
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dynamo. Project details The successful candidate will combine numerical simulations of existing and new magnetohydrodynamic (MHD) models implemented in our in-house code, with experiments using the Little
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of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference code: 980 - 2026/WD 1
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 1 month ago
Job Code: 09/2026 Job Offer from March 05, 2026 PhD positions at the International Max Planck Research School for Living Matter, Dortmund, Germany Application Deadline: April 6th, 2026. Are you
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based on the research proposal. The faculty has prepared a guide for writing project descriptions. We can offer: Salary as PhD (code 1017) NOK 568 700, - per year. Automatic salary increases for up to 4
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for continuous development through training courses offered by the University (e.g., coding skills, writing skills, etc), conference attendance and meetings with the industrial partner. This project will be
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project’s principal investigator, Associate Professor Lars Rohwedder, an internationally recognized expert in the areas of approximation algorithms and parameterized algorithms, see https://larsrohwedder.com