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external fundings when appropriate. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team
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College for Social Sciences and Humanities | Essen, Nordrhein Westfalen | Germany | about 1 month ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The College for Social Sciences and Humanities calls for applications for up
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educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position
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university department for general education and research in Computer Science and related topics. The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and
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and be an attractive and inclusive place to study and work. PhD position There is a vacancy for a PhD Research Fellow in cryptography at the Department of Informatics . The position is for a fixed-term
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. research fellow, research assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline
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Fellow, you must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and
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, PhD in educational sciences (UTVIT ). It is a prerequisite that the PhD candidate’s doctoral education is undertaken within this PhD program and contributes to its overarching aim. This aim is to
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activities. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong software background in software engineering and cloud computing systems. Strong
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: Preferably PhD degree in Computer Science or equivalent. Have a solid foundation in the following areas: Computer Vision, 3D vision; Strong publication records in top-tier computer vision and machine learning