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expenses are estimated to range from approx. 900 EUR to 1,400 EUR per month. Funding opportunities within the university Yes Description of the above-mentioned funding opportunities within the university
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the development of sensitive quantitative assays for in vitro and in vivo approaches; improved measurement techniques that ideally push resolution limits to the single molecule level; statistical methods to deal
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Graduates of the Graduate School for Geoinformatics will apply and develop methods for computer-supported solutions to spatially referenced problems (global, regional, local). They receive specialised
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of biomolecules which can only be successfully tackled by employing a variety of different theoretical methods. In this respect, this joint graduate college brings together the expertise in analytical theory from
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three lab courses. These method-based courses last up to five days and constitute an important element of the study programme, with students receiving intensive training in the latest methods and
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methods courses and courses on advanced neuroscience and transferable skills, make excursions to research institutions and companies and participate in summer schools, seminars and international meetings
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 2 days ago
neuroscience and cognition to the development of novel methods in neuroimaging, computational neuroscience, and artificial intelligence. To cover this spectrum and provide top scientific quality, the IMPRS CoNI
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-disciplinary and cross-cultural cooperation. The research revolves around four topic areas: Business models, decision processes and economic analyses Holistic interdisciplinary methods for modelling, analysis
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processes, and the application of AI methods in engineering. Description: Nowadays, computer-aided manufacturing (CAM) methods are used to a large extent for the production of complex machine components, in
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, (food) marketing, or related social sciences disciplines, strong analytical skills, experience with relevant statistical methods, proven interest in topics related to sustainable food systems, and strong