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– from the modeling of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference
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using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts generated in the scattering
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Computer Vision offers two full-time positions as Research Associate / PhD Student (m/f/x
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Back to Overview Research Assistant / PhD Student (m/f/d), Machine learning chiral molecules, 75%Full PhD Working LanguageGerman, English LocationKassel Application Deadline20 Feb 2026 Starting
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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
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months doctoral theses: 1,850 EUR per month over 2 years with an option to renew the sponsorship Additional applications can be filed to acquire specialist literature and to attend scientific conferences
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vesicle cluster in cellular context outside of the confines of a synapse, including in non-neuronal cells. In the course of this project, the student will acquire proficiencies in basic and advanced lab
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to teach at a higher education institution in Germany) Duration education and training: 2 days (programme countries) or 5 (partner countries) to 60 days (excluding travel times) teaching: teaching duration
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to learn and has a strong interest in research. Experience in the design, operation, or maintenance of membrane filtration systems (of any scale) is a definite advantage, as well as experimental problem