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, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX -Jury Composition: President: John Griffith Jones Effective Members: Bruno José Fernandes Oliveira Manadas;Ivan Daniel dos Santos Martins
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good numerical literacy in developing computer code for simulation models and for data analysis and interpretation. About the project The goal of this PhD is to model (Calanus spp.) life history traits
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
interaction to liquid metal pool and microstructure generation. To this end, the main focus of the PhD project is the AI assisted multiphysics modeling/simulation of the LPBF process. The project aims
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understanding, modeling and simulation, iterative and confident progress, justification, and decision support. To this end, the ISOAR team is promoting a research focus on model-based engineering (MBE) and model
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topics such as statistics, high performance programming, machine learning and using data to constrain cosmological models. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs
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17 Mar 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Modelling tools Geosciences » Geology Geosciences » Hydrology Researcher
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workload models and simulations that accurately mimic real-world traffic to establish scalability benchmarks. - Architectural Scrutiny: Participate in design reviews to identify performance risks in system
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 1 month ago
dynamics simulations of biomolecules in solution – using models of about 100 000 atoms – that provide a data set to train stochastic low-dimensional models (Langevin equations), based on diffusion on a
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The Doctoral Candidate will: Perform numerical modelling of the three NDE techniques to evaluate the influence of relevant material property gradients on each NDE observable generating a sizable synthetic
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commitment to gaining practical experience working on a research project. Ability to work well within a team. Experience with modelling and simulation and laboratory testing of marine renewable energy