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choose their own courses to some extent. Application deadline https://www.iri-thesys.org/education/graduate_program/membership Tuition fees per semester in EUR None Combined Master's degree / PhD programme
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://studium.ruhr-uni-bochum.de/de/wohnen . In addition, private and church-affiliated student halls accommodate up to 1,000 students: http://www.stuwo.de/wohnheim-region/bochum/ . Structured research and supervision
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accommodation. A good starting point for your search is http://www.wg-gesucht.de/en/ . A limited number of single rooms is available in student residences. Structured research and supervision Yes Research
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evolution, with the aim of unravelling the nature of biological intelligence. World class scientific research work is at the core of the IMPRS-BI mission. We offer an English-speaking, structured PhD
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given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide: https://go.fzj.de/welcome ; FLEXIBILITY: Flexible
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Cluster of Excellence – SubCellular Architecture of LifE (https://scale-frankfurt.org ) at the Faculty of Biochemistry, Chemistry and Pharmacy. This civil servant or public employee position will commence
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range of advantages like access to student dorms, a "mensa" (student dining hall) discount, free public transport, a campus card, and more. The semester fee is approximately 250 EUR. https://www.uni
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Your Job: In the CrowdING project, you will analyze experimental data from large crowds and develop quantitative measures to describe their spatial structure. To do this, you will use and expand
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Max Planck Institute of Microstructure Physics • | Halle, Sachsen Anhalt | Germany | about 20 hours ago
no application deadline. Please refer to https://www.imprs-stns.mpg.de/application for details. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double
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using graph-structured prior knowledge Analyze food-related (multi-)omics data Your Profile The ideal applicant has a strong background in bioinformatics and/or probabilistic machine learning, as