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for livestock systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We
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to state-of-the-art applications in geophysics executed on supercomputers, as well as the presentation of the results to the scientific community in journals, at conferences, and as lecture contributions
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scientific career. About us TUM’s new Computational Pathology and Medical Machine Learning lab (*2021) develops methods of machine learning (ML) and artificial intelligence (AI) for the analysis of digital
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at the newly founded Global Center for Family Enterprise (Prof. Dr. Miriam Bird). Expected starting date is April 2023 or by mutual agreement. The scientific employee (postdoc) will be employed on a 100
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for a Scientific Researcher with the possibility of doctorate/postdoctoral researcher: Advanced inverse modeling of greenhouse gases and air pollutants (E13 TV-L, 100%) The position is initially limited
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FIZ Karlsruhe – Leibniz Institute for Information Infrastructure is one of the leading provider of scientific information and services and a member of the Leibniz Association . Our core tasks are
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the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct experiments in the field
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available in the further tabs (e.g. “Application requirements”). Programme Description As part of the HessenFonds, the Hessian Ministry of Higher Education, Research, Science and the Arts provides
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the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We
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ecologist (m/f/d) with a background in community ecology, macroecology, metacommunities, and/or analysis of ecological time series. The applicant should have a strong track record of scientific publications