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objectives. Duties of the position The successful candidate will be expected to complete their doctoral education and perform fundamental research, primarily within: Develop and optimize eco-friendly shell
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) machine learning. The project will focus on one or a combination of the following focus areas, tailored to the candidate’s expertise and interests: Developing numerical models for the coupled mechanical
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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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Informatics (Numerical Analysis; simulation, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering), Condensed Matter Physics (Fluid
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changes), Computer Science and Informatics (Numerical Analysis; simulation, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering
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impact. Tasks: Research Objectives: Definition of a suitable interface region based on the results from other IRP. Numerical analysis of the emission propagation in the near field of the re-entering
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about their climate impact. Tasks: Research Objectives: Definition of a suitable interface region based on the results from other IRP. Numerical analysis of the emission propagation in the near field
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, probabilities, stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python, Julia, or MATLAB
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-driven modelling, probabilities, and stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python
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under extreme fault conditions. Scientifically, optimizing new gas mixtures is complex, with gaps such as missing photoionization data. The NEMEGIS project aims to fill these gaps by studying insulation