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Management, and IT). The research conducted at the L2S focuses on the fundamental and applied mathematical aspects of control theory, signal and image processing, information theory, and communication
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positions and all types of research activity including but not limited to Master, PhD, internship and post-doctoral projects, methods used, skills acquired, publications, preprints and unpublished data
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Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Apr 2026 - 23:59 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Part-time Hours Per Week 30 Is the job funded
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Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description LEPMI
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to overall technology strategy and help shape the company’s long-term product direction. Job requirements Background MSc/PhD in Electrical Engineering, Computer Engineering, or Computer Science (or equivalent
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: Assistant Research Professor Position #: 00846759 – Requisition #:39595 Job Summary: The Department of Surgery at the University of Colorado Anschutz Medical Campus is seeking a full-time Assistant Research
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programme Reference Number BZI-2026-4 Is the Job related to staff position within a Research Infrastructure? No Offer Description It is part of the assignment of the appointed candidate to develop, within
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Gies College of Business: Clinical Associate Professor or Clinical Professor - Department of Account
submitted through https://jobs.illinois.edu will not be considered. For further information about this specific position, please contact Abby Dillingham, dilling1@illinois.edu. For questions regarding
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independently and in cooperation with Piotr Slomka, PhD, Director, Innovation in Imaging and Principal Investigator, as part of a medical imaging and artificial intelligence research team within the Department
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image analysis and sensor technologies (e.g. RGB/NIR) for textile production, as well as using machine learning for process optimisation and performance prediction from fibre to finished product