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within various scientific and engineering disciplines, including ground-based, airborne, and satellite measurements, numerical modelling, and data analysis. The division's goals are to enhance
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within various scientific and engineering disciplines, including ground-based, airborne, and satellite measurements, numerical modelling, and data analysis. The division's goals are to enhance
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Description Job description We are seeking a postdoctoral researcher in vehicle or traffic engineering, with a focus on the longitudinal dynamics of cyclists. The work includes modeling, numerical analysis, and
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implementing numerical models, calibrating them with real measurement data, conducting sensitivity and scalability analyses, and comparing energy community investments with conventional grid reinforcement
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proficiency in English. Documented experience in CFD and numerical modeling, preferably with OpenFOAM, Nek5000, or LBM. Strong programming skills (C++, Python, or similar). Ability to work independently and
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development related to the above areas. Publications in first class journals and highly competitive conferences in areas relevant to the work, i.e. network modelling and protocol emulation in virtualised
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, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as
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is strongly preferred. Additional requirements: Very good oral and written proficiency in English. Documented experience in CFD and numerical modeling, preferably with OpenFOAM, Nek5000, or LBM. Strong
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experimental, pilot-scale, or high-fidelity simulation data into model calibration and validation workflows Design and run numerical simulations of multiphase flow systems and reactors Quantify model uncertainty
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algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we are looking for The following requirements are mandatory: A doctoral