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contributions. Bremen is an ideal study area because it includes urban, industrial, and semi-rural areas, surrounded by agriculturally intensive land. These conditions result in a mixture of emissions from both
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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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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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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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of a housing system for mice and the analysis of the effects of housing conditions on the immune phenotype and immune resilience. The aim of the project is to analyse the effects of an animal-friendly
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Further information Hochschule Offenburg Department of Electrical Engineering, Medical Engineering and Computer Science: Institute for Machine Learning and Analytics Institute of Reliable Embedded Systems
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and transfer of science to society. As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and
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positions (TV-L E13). Addressing global challenges, the school provides a wide variety of topics, from logic in autonomous cyber-physical systems to machine learning in Earth System models. You will have one
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to mechanistically explore the interaction of phytonutrients in the plant-environment response in order to enhance and secure the nutritional quality of vegetables under changing climatic conditions and under
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-surface monolayers. Understanding energy and scalar fluxes across the air-sea interface is crucial for a number of environmental challenges, including weather, climate and sea state forecasting. The Air-Sea