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embedded in the Bremen Research Cluster for Dynamics in Logistics (LogDynamics) (http://www.logdynamics.de ). LogDynamics is a cooperative network of research groups from five different departments
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Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences
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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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international setting. At the end of this programme, thanks to their very broad specialist training, doctoral students have their very wide-ranging method portfolio and the strengthening of their key
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algorithms and data structures, machine learning, computer graphics and vision, database systems, artificial intelligence, logical methods, programming languages, computer architecture, and security, to name
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and with human activity. PhD researchers participate in ongoing research comprising field observations, method development, experiments and modelling. The PhD programme is thus an excellent starting
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Max Planck Institute for the Study of Societies • | Koln, Nordrhein Westfalen | Germany | about 2 months ago
you will learn the specific methods you need for your project Feedback from experienced research advisers Excellent research facilities Instruction in English Thesis may be written in English or German
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of work in industry, government, and research, with strong leadership skills Graduates of the Graduate School for Geoinformatics will apply and develop methods for computer-supported solutions to spatially
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scientific results, talented PhD students need to acquire knowledge and are also required to exchange knowledge and experience with other PhD students in method-oriented working groups. Supervision by two
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, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. We put emphasis on methods of distributed computing, machine learning, image and text analysis