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Degree PhD Course location München In cooperation with Find out about our network of collaborating research institutions at https://www.gsn.uni-muenchen.de/research/network/index.html . Teaching
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check our website for more information: https://www.uni-goettingen.de/de/635183.html PhD students with their own funding (e.g. DAAD) can join at any time. Tuition fees per semester in EUR None Combined
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and batch processing. These efforts provide the foundation for advanced analytics, machine learning, and AI applications. The IDE Research School guides PhD researchers by offering a platform for
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Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information Analytics Software Engineering for Distributed
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the magma reservoir. The geochemical composition, isotopic tracers and the physical properties of the magmas are examined analytically and experimentally. They make it possible to reconstruct the origin
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important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimisation and simulation, software engineering and automation and
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are invited to develop projects that bring developments in at least two different world regions together. At the same time, a historical approach is related to systematic-analytical categories from the social
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Topic: The rapid advancement of digital health technologies presents unprecedented global opportunities and challenges in public health and healthcare, data management and analytics in prevention
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options, epidemiology and associated risk factors of a healthy cardiovascular system. In addition, it provides an understanding of basic research methods, analytical tools for cardiovascular studies and
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biological techniques (SSR, GC-EAD, EAG). •Experience in analytical chemistry (GC-FID, GC-MS). •Experience in or willingness to learn statistical data analyses, data processing and analytical chemical analyses