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Science at The Technical Faculty of IT and Design invites applications for a fully funded PhD stipend in the area of Human-Computer Interaction, generative AI, creativity research and knowledge worker studies. The position
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Machine Intelligence (CVI²) research group (CVI² Group ), led by Prof. Djamila Aouada, to pursue a PhD in Computer Vision with a focus on Media Forensics and Deepfake Detection. The candidate will conduct
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science. The PhD students are supervised by a supervisory panel consisting of a panel chair, a professor from the natural sciences and a professor from information/computer/mathematical science. The DASHH graduate
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 12 days ago
equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage According to profile Selection process Please send your CV and cover letter. Website
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computational models. · Developing quantum networks, and quantum cryptographic systems, including post-quantum cryptography. Minimum required qualifications · A PhD or equivalent terminal degree in
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, and Artificial Intelligence, in our West Lafayette and Indianapolis locations, as well as graduate MS and PhD programs. For more information, see https://www.cs.purdue.edu . Opportunities
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for secure and resilient systems; privacy; secure sensing and control in critical infrastructures) Candidates with a PhD in Electrical Engineering, Computer Engineering, Computer Science, or other closely
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, and support research project execution and reporting. Job Requirements: A completed PhD in Electrical Engineering, Computer Engineering, Computer Science, or a closely related discipline. Strong
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successful in this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert
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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities