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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 20 days ago
26 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Systems engineering Researcher Profile
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, Computer Science, Information Design, Information Systems, or a related field SEO Experience: Experience in technical and on-page search engine optimization, with a proven track record of managing
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About the Opportunity Responsibilities: Teach selected master level courses of the Master of Science in Electrical and Computer Engineering (ECE) program of the ECE department at the Northeastern
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, ancestral, and unceded territory the University resides. For more information about the Department of Electrical and Computer Engineering, please visit https://ece.ubc.ca/ . For information about
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guarantees. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year
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preferred licensure/certification?: Preferred <b>Computer</b> Applications: Preferred Other <b>Computer</b> Applications: Qupath, ImageJ, LoupeBrowser, eLab, other LIMS system programs Preferred Additional Knowledge, Skills and Abilities: Email to a Friend...
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, enthusiastic, dynamic, mobile and communicative researcher with a Master of Science degree in Engineering (preferably mechanical, energy, chemical or computer science). The candidate should have a
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Qualifications: MS in Computer Science, Electrical and Computer Engineering, Electrical Engineering, or related field (or equivalent industry experience). 3+ years production experience with speech/audio ML
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | about 1 month ago
for Systems and Control, supervised by Gabriel de Albuquerque Gleizer. The research will allow you to gain deep insights across nonlinear dynamics, optimization, and theoretical computer science, and
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offers the opportunity to develop strong competencies in multi-agent systems, learning and optimization, while addressing a timely and high-impact challenge: the growing use of AI agents in