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Field
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to the requirements of the position. Required selection criteria You must meet the requirements for admission to the faculty's Doctoral Programme , see Section 6-1 of the PhD regulations for more information. You must
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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backgrounds such as AI, computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, or related areas are encouraged to apply
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LevelPhD or equivalent Skills/Qualifications Who you are You have a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field. You have experience with power, thermal
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fields of study: Computer Science, Information and Computer Engineering, Software Engineering and Management, Mathematics, or equivalent disciplines Excellent programming skills Extensive knowledge of IT
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Admission Requirements Completed Master's degree or equivalent Diploma degree Preferred fields of study: Computer Science, Information and Computer Engineering, Software Engineering and Management
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
validation in a waste-sorting application, supported by PEPR Robotique Acceleration program. The PhD candidate will benefit from a rich scientific environment offered through the collaboration between INRIA
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into the Computer-Aided Design and Finite Element Analysis software tools used by Navantia DURATION OF THE CONTRACT The contract will be indefinite, in accordance with applicable law. It is cautioned that the context
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Image processing and computer vision Experimental data analysis and uncertainty quantification Piezoelectric actuation, acoustic systems or electronic driver development Eligibility and Project
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the following areas: (1) cryptography, (2) Privacy-enhancing technologies, such as FL, (3) mathematics (including number theory and game theory), (4) machine learning, and (4) computer programming in C++, Java