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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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group of Prof. Felix Deschler under the remit of the collaborative research center SFB 1249. The positions are available immediately (fixed term contract, end of funding period 31.12.2028). These 3-year
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algorithms for data processing, assisted or automated flaw detection, 3D EM solvers, and synthetic aperture radar (SAR) focusing will be used to refine spatial resolution. Applicants should have, or expect
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to test and demonstrate the developed concepts and algorithms for integrated (re)planning. This PhD research will use a mixture of techniques from logistics, operations research, multiple-criteria decision
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at the Institute of Visual Computing, course on Fundamentals of Geometry Processing, or Data Structures and Algorithms. Co-supervision of bachelor and master thesis. Research and development
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Dr. Jan-Christoph Kalo and Prof. Paul Groth. What you will do Your tasks and responsibilities: perform novel research at the intersection of data integration and foundation models; publish and present
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Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys ). The PhD position is focused on efficient algorithms for the simulation of non-adiabatic exciton transfer dynamics in light
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the improvement of the wetting/during algorithm in TELEMAC2D, including the effects of vegetation. Modelling the SPM turbidity in 3D (using TELEMAC3D) in front of the Belgian coast, validated with 3D remote sensing
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to demonstrate real-world feasibility. The overarching goal is to bridge high-level algorithmic innovation with energy-aware hardware deployment, enabling intelligent sensor systems that act as autonomous micro
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
(MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala Universitet. Print4 Life – Advanced Research Training for Additive Manufacturing of the Biomaterials and Tissues of the Future https