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experience with computational modelling, method development, and numerical analysis applied to biology (or allied fields like neuroscience and medicine) the ability to work effectively in a multi-disciplinary
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 18 days ago
2025-2029, financed by national funds through FCT/MCTES (PIDDAC Workplan: Numerical study for the experimental detection of linear Breit-Wheeler (LBW) process by high-intensity laser-plasma interactions
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dissipation processes driven by waves in the ocean The project involves numerical simulations of various atmospheric and oceanic conditions using large eddy simulations (LES), followed by parameter calibration
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between research institutes and industry partners, combining experimental and numerical expertise. This position is part of the ANR DYNATERRE project, which focuses on the static and dynamic behavior
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and Ar-Ar geochronology, fission-track and (U-Th-Sm)/He thermochronology, vitrinite reflectance, and thermal history models. New relational data models data for incorporating methods such as include
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develop cutting-edge statistical models and computational methods to systematically extract knowledge of molecular interactions from single-cell multi-omic, multi-context data. As an integral part of our
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experience in hydrological or Earth system modeling, with emphasis on process understanding and prediction. Strong background in computational sciences, including numerical methods, high-performance computing
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developing machine learning surrogates and emulators for dynamical systems. Proficiency in managing large datasets and training with GPU-enabled computing resources. Expertise in numerical optimization and
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/PhD in a mathematical branch of study Solid knowledge of one of the following fields: mathematical methods, analysis and numerics in imaging, inverse problems or data sciences Ability to integrate
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begin the process of appraisal of applications, taking into account the criteria set out in this notice. 5 — Evaluation and selection: 5.1 —The selection methods are curricular evaluation and an interview