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reliable, conscientious, and structured work, commitment, initiative, teamwork skills, scientific curiosity, and willingness to learn willingness to be mobile (especially with regard to the required
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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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the ability to learn from experimental data and make meaningful predictions, taking AlphaFold and its highly accurate protein structure prediction as an example. However, the training of powerful AI tools
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. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In
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defects of smectic-liquid crystal order in developing cross-striated muscle, or use machine-learning to expand existing custom-built image analysis pipelines (Python, Matlab). To learn more about this
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the opportunity to acquire expert skills and knowledge of innovative single-molecule manipulation methods applied to a highly relevant topic of molecular separation. Salaries will be according to DFG standards
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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– but it is a great opportunity for you to learn German! The historic city of Göttingen, located in the heart of Germany, offers great outdoors and cultural opportunities, a vibrant student scene, and an
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of computational approaches to large scale simulations Basic knowledge of (geo)chemical processes and machine learning will be of advantage Expertise in Machine Learning approaches, ideally beyond neural networks
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different practical approaches. The interdisciplinary course offerings focus on processes and outcomes of teaching and learning languages, literature, and culture in first, second, and foreign language