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. ETRO, the Department of Electronics and Informatics (http://www.etrovub.be/) of the Vrije Universiteit Brussel (VUB), performs fundamental and applied research in signal processing, AI, computer vision
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activities Requirements: PhD, preferably in Computer Engineering, Telecommunications, ICT Law, or related cybersecurity disciplines ANECA-accredited PhD and/or recognized research track record (e.g., six-year
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, sesgos e impacto medioambiental de la adaptación de modelos de visión por computador/Analysis of the explainability, bias and environmental impact caused by the adaptation of computer vision models. Where
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recognized basic and/or translational research program, provide service to the Institute, Department, and University, and mentor trainees in vision science. A competitive start-up package, excellent laboratory
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 37 minutes ago
independent investigator committed to innovative research in stem cells and regenerative medicine and its clinical application, with the vision and administrative acumen to leverage the Center’s resources
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SW-136 at info@phd-jobs.net Tel.: +40 765 734 800 HR Partner: Vitaly Pryadka Web: http://www.phd-jobs.net Where to apply E-mail info@phd-jobs.net Requirements Research FieldMedical sciences
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Language Models (MLLMs) and their agentic implementations. Develop and benchmark novel adversarial attacks and defense strategies, focusing on the intersection of computer vision, natural language processing
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and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under diverse driving conditions. The PhD
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the information webinar, please visit: https://www.rca.ac.uk/study/apply-to-study/funding-your-studies/funding-for-mphil-and-phd-students/doctoral-landscape-sch-net-zero-futures/ Fair Access and Widening
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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