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for pricing complex derivatives and risk measurement, numerical optimization algorithms for portfolio optimization and calibration of financial models. We will focus on practical applications to real-world
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candidate will contribute to cutting-edge research in optimal control theory, differential game theory, mean-field game theory, and mean-field-type game theory, developing advanced mathematical frameworks and
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heat transfer processes Use of advanced numerical methods (CFD, LBM, hybrid models) Utilization of high-performance computing (HPC, GPU) Analysis and validation of numerical results Optimization
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to scientific computing and other scientific domains. Candidates with strong backgrounds in stochastic analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas
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consistent with the topics of the Scientific Disciplinary Sector (S.S.D.) in the field of Operations Research. A strong scientific background in numerical optimization is required, including non-smooth and non
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to represent PVD-functionalized electrodes without unnecessarily increasing computational cost. The work will combine fundamental modelling, numerical simulation and experimental validation, with a strong
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HPC systems and clusters; or An equivalent combination of education and relevant work experience. Preferred Education, Knowledge, Skills and Experience Experience installing, maintaining, and optimizing
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especially in thermal energy systems (for steam production), (optimal) control (MPC), physics-based modelling and optimization. Numerical optimization, scientific computing (in C/C++) and general coding
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reports. What you'll do: Support the FEMOx project by optimizing and running assays to isolate, enrich, and characterize target biomarkers from biological samples with guidance from senior staff. With
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]. By combining simulations and experiments, comprehensive analysis of the process will be achieved and guidelines for optimization will be proposed. The analysis could then be extended to broader range