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Description As part of the research project ‘(Non-)utilisation of sick days for children – a challenge from different perspectives’ at Osnabrück University, we are seeking to fill a position as a research
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Financing yes Type of Position Full PhD Working Language German Required Degree Magister (Masters degree course) Master Areas of study Sociology, Social Science, Economics Description Description As part of
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description: The PhD project aims to investigate how tree-derived defense metabolites influence the structure and function of microbial communities, including both pathogenic and beneficial microbes. The focus
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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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Mathematics/ Approximation Theory to be filled by the earliest possible starting date. The Chair of Applied Mathematics, headed by Prof. Marcel Oliver, is part of the Mathematical Institute for Machine Learning
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change, the sustainable use of the world's coastal systems and the resource-compatible enhancement of the quality of life. From fundamental research to practical applications, the interdisciplinary
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learning, image analysis, and advanced computing to study relationships between structure and function. Keywords: Human Brain, 3D Atlas, Deep Learning, Temporal Lobe, Brain Function Entry Requirements
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: Prof. Dr. Magdalena Götz – magdalena.goetz at helmholtz-munich.de Application: Hector Fellow Academy Office – application at hector-fellow-academy.de Apply via the HFA portal: https
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challenges of our time and conduct research into the possibilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 7,500 employees in one