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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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of Technology (TU Clausthal), is seeking to fill two positions as Academic Researcher in the field of Software Engineering for Dependable AI-Based Automated Driving Systems with Autoware (in the case of fulfilled
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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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since graduating from university.) Number of Scholarships up to 50 scholarships per year Duration The maximum funding covers a period of 3 years. Scholarship Value base amount of 1,650 EUR per month fixed
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characteristics, and scheduling under uncertain and evolving conditions extend existing demand-based network optimization models by incorporating vehicle performance sensitivities and environmental influences apply
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an amount of 1,575 EUR per month. For expenses directly related to the doctoral project (e.g. learning materials, travel), an additional subsidy may be granted on submission of receipts. Application Papers
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. Only online applications will be accepted. AVAILABLE PROJECTS: Nanoscience: Application of bistable DNA devices Nanoscience: Synthesis of Carbon-Nanostructures on Inert Surfaces Biophysics: Learning
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learning approaches. A central aspect of this project is the formation of a complex sorption layer—known as the eco-corona—on the nanoparticles and its influence on pollutant sorption. We are seeking to hire
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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. Only online applications will be accepted. AVAILABLE PROJECTS: Nanoscience: Application of bistable DNA devices Biophysics: Learning in living adaptive networks Biophysics: High-resolution structural