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Field
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, mathematics, or a related field (PhD is advantageous) Experience with numerical modelling and analysis of large simulation datasets Knowledge of ocean biogeochemistry or Earth System Modelling Strong
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concrete. About us Digital Structures with Mineral Materials is a new professorship at the TU Munich, focusing on the de-velopment of structural engineering, design, analysis and modelling methods
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atmospheric dynamics and numerical simulations of the atmosphere will be an advantage • Experience in data analysis and programming, e.g., in Python • Good analytical and problem-solving skills, good
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solutions to PDEs . Your work will involve utilizing GPU code generators for matrix multiplication kernels and ensuring the software is usable in Python for downstream data analysis [2]. Collaboration is
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Profile PhD in Electrical Engineering, Mechanical Engineering or a related field Background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power
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activity of individual neurons and mesoscopic population signals. His team develops open software for analysis and data management that forms the technical basis of the proposed project. The PhD candidate
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Position Description The Faculty of Mathematics and Natural Sciences, Department of Mathematics, invites applications for a Full Professorship (W3) for “Numerical Analysis for Partial Differential
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skills (e.g., numerical methods, statistical analysis, coding, data management) Good communication skills Ability to work in a team Driving license category B desirable (access to field sites) Your Tasks
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, energy systems, computational engineering, or a related field Strong background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power systems, gas
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, artificial intelligence (AI), and socio-economic analysis. This program will equip them with advanced expertise in reservoir modelling, machine learning, advanced oxidation processes (AOP), and microbial