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7 Apr 2026 Job Information Organisation/Company Technische Universität Dortmund Department Department of Physics Research Field Physics Computer science Geosciences Mathematics Engineering
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Date 1 Oct 2026 Is the job funded through 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
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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PhD studentship in Computational Physics and Chemistry, University College London, UK A 4-year PhD studentships is available to work under the supervision of Prof Jochen Blumberger at the Condensed
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Workshops Building, Ferrol Campus TASKS TO BE PERFORMED: Computational modeling and simulation of offshore aquaculture facilities, studying the hydrodynamic and structural behavior of the different elements
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experiment at CERN. This position is based at the CERN site. The successful candidate will have a Ph.D. in physics, a strong computational background, and exceptional experience with simulation infrastructures
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of nearby molecular clouds and the Milky Way. The multidimensional structure and characteristics of bubbles, voids and cavities of galaxies. Inferring the physics driving star formation using probability
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the domain of molecular simulation of physico-chemical processes in proteins. The PhD student will have access to the computer cluster of the lab and to national supercomputers of the GENCI. [1] R
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Simulation” (Reference: PID2024-157499OB-C31). This project focuses on the development of advanced computational models and optimization techniques for improving the performance of cochlear implants. It
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
leverage machine learning techniques to bypass IO bottlenecks in the context of physics simulation on high-performance computing (HPC) clusters. This work is thus placed in a broader ``Machine Learning for