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challenging, and new 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
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Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference implementation of your machine learning pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with
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fast track PhD are also welcome. The Postdoc position is limited to two years with a possibility of extension. Payment and benefits are based on the German Public Service Payscale (TVöD Bund) guidelines
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awarded between two tracks: - Track 1: Researchers at risk without EU citizenship currently outside the EU who are facing threats in their country of residence or have recently fled their country
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related to the research areas of SECAI. This includes but is not limited to studies in the following programmes: MSc Computer Science (TUD) MSc Computational Modeling and Simulation (TUD) in the tracks
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the REACT Doctoral Network. In this context, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and
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residency track for medical doctors. We welcome applications starting on August 15, 2025 for a start in 2026 (flexible). Please apply until October 31 through our application portal on our website
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of Göttingen. Masters students aiming at a fast track PhD are also welcome. Payment and benefits are based on the German Public Service Payscale (TVöD Bund) guidelines. We would like to fill the position as soon
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first academic degree who want to pursue a Master’s programme (thesis track) in Jordan. What can be funded? The In-Region Scholarship Programme supports full-time studies in subject areas with strong
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programme (thesis track) in their home country. (In-Country scholarships are aimed at students who study in their home country or in the country for which they have a residence permit.) What can be funded