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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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the field of research projects https://www.ncn.gov.pl/sites/default/files/pliki/uchwalyrady/2024/uchwa… Other criteria The perfect Candidate (F/M) is expected to: • have documented experience in
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, or a related field. Experience using advanced agroecosystem models, ideally the ecosystem model, to simulate productivity and ecosystem services that guide improved management practices at large scales
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 16 days ago
, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Quantum Computing (QC), Artificial Intelligence (AI) and their applications. For more, see https
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related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Basic Qualifications Core job duties include
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science » Computer systems Computer science » Modelling tools Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 May 2026 - 23:00 (Europe/Paris
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Engineering), contributions to the Manchester BHF Centre of Research Excellence (CRE), with a focus on Theme 5: Computational modelling, simulation, and large language models. AI for Science in Manchester BHF
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to the Sustainable Built Environment (SBE). The SBE team focuses on building energy modelling and simulation, decarbonization strategies for the built environment and R&D of green building technologies such as HVAC
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scaled-up, optically clear model of the new dialyser. You will apply advanced techniques, specifically Particle Image Velocimetry (PIV) to resolve complex fluid flow behaviour. This role offers a unique
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for a highly motivated PhD candidate to join our world-leading research program in Earth System modelling and improving Earth System Modeling by better merging of measurement data and model simulations