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Heidelberg University is a comprehensive university with a strong focus on research and an international standards. With around 31,300 students and 8,400 employees, including numerous top
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control of turbulent thermal boundary layers. 1-Context Turbulent flows dictate the performance characteristics of numerous industrial equipment and environmental applications. One important consequence
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possess strong programming skills in Python and C++, with experience in PyTorch and pybind11 for developing and optimizing deep learning models. Familiarity with Sentinel-2 satellite imagery and experience
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layers. 1-Context Turbulent flows dictate the performance characteristics of numerous industrial equipment and environmental applications. One important consequence of turbulence is to increase the mixing
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available here . Key Accountabilities Research Assistant / Research Associate Support development and documentation of Python-based Design Tool workflow for D-Suite Project Formulate and solve optimization
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, Communications, Networks, Computing and Software. UPM-IPTC has a sustained record of involvement in numerous competitive projects (e.g. more than 100 per year), contracted research and an extensive experience
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. Perform sensitivity analysis, parameter estimation, and uncertainty quantification utilizing multiscale experimental data. Collaborate closely with experimentalists to iteratively refine models and optimize
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expertise in wireless communications, communication theory, information theory, applied probability, and optimization • Excellent written and verbal communication skills Preferred Qualifications • Prior
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possess superior scientific and numerical skills, as well as meticulous attention to detail and accuracy. Spanish language proficiency is preferred. About the Kinder Institute for Urban Research The Kinder
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, statistics, and financial mathematics. Website: https://sites.google.com/view/trr388/ Project B03 of SFB/TRR388 concerns numerical methods for the treatment of stochastic optimal control problems and backward