313 assistant-professor-computer-science-data-"Multiple" positions at DAAD in Germany
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on the topic assigned for each position. Requirements: outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA
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highly collaborative and interdisciplinary research environment, where you'll work alongside experts from fields such as transport and urban planning, engineering, data science, computer science. Skill
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) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS
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available in the further tabs (e.g. “Application requirements”). Objective The general aim of the programme is to train young academics and scientists through funding of PhD degree studies in Germany. Who can
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would like to commit themselves, their achievements and productivity to the success of the whole institution. At the Center for Interdisciplinary Digital Sciences (CIDS), the Center for Scalable Data
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activities, which they help to shape intensively. The scholarship holders receive a place at the Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin School of Economics and Law (HWR Berlin
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Description Gen-Q is a doctoral training programme set up by Eucor – The European Campus EGTC. It provides 13 doctoral positions with an international, interdisciplinary and intersectoral focus
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work plan. The grant is non-renewable. Value Monthly payments of 2,000 euros for assistant teachers, assistant professors and lecturers 2,150 euros for professors Monthly payments for former scholarship
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy
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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator