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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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Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological
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About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling, architectural history, technology, or project case studies
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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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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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Science Programs, and MS in Computer and Information Science (https://cse.aua.am/ ) invite applications for a full-time faculty position in Machine Learning at the rank of Assistant Professor, starting in
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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 | about 15 hours 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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collaborative researcher to lead the design and implementation of both experimental and computational modelling studies. In this role, you will develop innovative diagnostics to measure how various media