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derived use cases by focusing on one or more of the following topics in their PhD project: Training and inference of ML models on GPU clusters. Method development for scalable and green AI. Use cases in
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. Functional urinary tract disorders affect approximately 1 in 5 adults, significantly impacting quality of life, and remain challenging to treat. Our research group has pioneered innovative methods to study
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biological data, development of deep learning and large language models for biological discovery or graph-based methods for molecular and cellular networks. The technological foundation further consists
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live in. Your role This position is inside the SPETRA doctoral training unit which investigates new materials, methods and concepts for converting sunlight into usable energy sources. Inorganic
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will work on projects where research meets real-world challenges. This includes developing soil moisture maps to reduce damage from forest machinery, testing innovative methods to control pests in
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for biological image data, scalable computer vision methods preparation of publications for submission to top-tier machine learning conferences contribution to teaching and/or supervision of Bachelor's and
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external experimentalist. You should have expertise in at least one of the following areas (i) Non-adiabatic chemical dynamics, (ii) Physics of charge transport in the solid state, (iii) QM/MM methods, (iv
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. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team
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methods from information systems, such as qualitative interviews or simulation-based modeling to investigate questions at the individual and organizational levels Interest in financial applications
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methods from information systems, such as qualitative interviews or simulation-based modeling to investigate questions at the individual and organizational levels Interest in financial applications