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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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3 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Computer architecture Computer science » Other Researcher Profile Recognised
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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design and implementation of visual cues detection on video datasets (face and gesture), context-aware multimodal analysis, machine learning/self-supervised learning for automatically detecting subtle
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Position Title: Research Assistant Professor - Electrical and Computer Engineering Appointment Type: Faculty Job Description: Summary of Duties and Responsibilities: The Department of Electrical and
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The National Institute of Education invites suitable applications for the position of Research Fellow on a 9-month contract at the Office of Graduate Studies and Professional Learning . Project
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Apply now Job no:502733 College / VP Area: College of Engineering Work type:Staff Location:Newark, DE Categories:Research & Laboratory Curious about the full value of working at UD? In addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the...
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Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Postdoctoral researcher, you will: Lead cutting edge research in Swarm Intelligence and Machine Learning, addressing challenges
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models for complex data, including temporal data