152 phd-studenship-in-computer-vision-and-machine-learning PhD positions at DAAD in Germany
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processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a PhD Student (f/m/d) - Machine Learning for Modelling Complex Geochemical Systems. The job
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
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machine learning approaches. These are similar to earlier work on charge and excitation energy transfer (see https://constructor.university/comp_phys). The project for the PhD fellowship is slightly more
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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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American Studies, North American Studies, Food Chemistry, Chemistry, Computer Science, Physics
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protein structure analysis. Required skills: High motivation, curiosity, self-driven, critical thinking, strong team-player, good English, high interest in protein structure and machine learning. This PhD
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: The application for the PhD program takes place exclusively via the online portal of the Dahlem Research School (open from 15.09.2025). Applications for the winter semester 2026/2027 are possible until November
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international training environment. PhD students will work with leading scientists in the field and benefit from their complementary expertise in theory and experiments involving the various messengers
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Description The International Max Planck Research School for Chemistry and Physics of Quantum Materials is a joint PhD program between the Max Planck Institute for Chemical Physics of Solids in
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courses and transferable skills; support for attending conferences to present your work; an international graduate program in one of Europe's most exciting cities; financial support to learn German