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Description For our location in Hamburg we are seeking: PhD student - Lasers for Inertial Confinement Fusion Remuneration Group 13 | Limited: 3 years | Starting date: 01.09.2025 | ID: FSDO013/2025
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detailed structural, magnetic and spectroscopic characterization, in particular using electron paramagnetic resonance (EPR). The project will be in collaboration with a team in the physics department
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encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and participation in the related Graduate School
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Description In the Division of Diagnostics and Differential Psychology, we investigate systematic patterns and processes of personality development and personality-context transactions, with a focus on life events and romantic relationship dynamics. The assessment methods include longitudinal...
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-management and conservation practices": PhD student (f,m,div) in the Field of Geodata, Nitrogen and Soil Parameter Modelling Reference number: 18/2025/4 The salary will be based on qualification and research
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Description The research group of Jun.-Prof. Dr. Johannes Walker welcomes applications for a Ph.D. position with a limited contract of three years according to the salary level E 13 TV-L (50 %). This position is to start at the earliest opportunity. The project will involved the development of...
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availability of resources, a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting October 1, 2025
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Description The NHR Graduate School for HPC Talents 9 Ph.D. scholarships for HPC, Numerical Simulations, and AI/ML projects The NHR Graduate School seeks qualified applicants interested in pursuing a Ph.D. project in HPC, numerical simulation, and AI/ML. Fellows will receive a three-year...
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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD