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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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accessible observables in attoscience. The postdoctoral researcher will carry out methodological developments and advanced numerical simulations to explore these ultrafast dynamics in exotic systems. -Develop
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31 Oct 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Civil engineering Engineering » Computer engineering Sociology » Urban
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of the variability and uncertainty of simulated outputs • an explicit quantification of prediction error • an interpretable and controllable structure (e.g., Gaussian processes, …) 2. Model industrial system
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are solicited for an individual to be appointed as a Postdoctoral Associate under the supervision of Dr. Tamar Schlick’s group. The research will focus on biomolecular dynamics simulations, involving protein and
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cloud processing (e.g., CloudCompare, Autodesk ReCap) and/or GIS. Immersive simulation environments and interactive design tools. Experience coordinating interdisciplinary research projects. Experience in
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Performs basic or applied research in the area of computational fluid dynamics and computational aeroacoustics, including problem setup, simulation and advanced post-processing for multiple projects
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automated liquid handling systems and robotic workflows for running high-throughput experiments and processing large datasets. Desired qualifications Knowledge of various screening strategies (in vitro and in
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LevelPhD or equivalent Skills/Qualifications Process modelling and simulation. Experimental approach. Process engineering. CFD Internal Application form(s) needed Post_DOC_RPB_IMOSCYCA_2026.pdf English
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 17 hours ago
into FE codes for application in process optimization studies Utilize ML algorithms and optimization frameworks in conjunction with FE simulations to develop process optimization framework for metal/ceramic