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in the event of equal suitability. Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD). Additionally Fraunhofer may grant performance
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 1 day ago
this, IMPRS CoNI offers high performance computing facilities for computational modelling and data analysis. The modules covered ensure a structured and comprehensive approach and provide the important basic
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of the institution. Areas evaluated include academic performance and quality, extracurricular activities, mo-tivation, and relevance of the research topic (if applicable). The DAAD reserves the right of final
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Infrastructures Didactics of Informatics Digital Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information
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computer science from a research-oriented institution of higher education have outstanding academic performance (rank at or near top of his or her class) have excellent oral and written English language skills show
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disciplines and status groups. GCSC research areas cover the following topics: Cultural Memory Studies Cultural Narratologies Cultural Transformation and Performativity Studies Visual and Material Cultural
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. Academic admission requirements Admission is contingent on previous academic performance (typically a Master's degree in literary studies with an above-average GPA), the quality of the research proposal, and
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is part of the Martinsried life-science campus. © Jan Greune The essential question in modern neurosciences is to understand how the human brain is functioning on all levels, from molecules
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institution Outstanding academic performance Language requirements Excellent English and at least basic German skills Application deadline For the summer semester (i.e., April to September), applications have
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formations are of growing economic and societal importance. By participating in a number of externally funded projects, doctoral candidates learn to perform independent scientific work. Through active