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application! We are now looking for a PhD student in infrainformatics with focus on semantic and goal-oriented communication specialized on cloud-assisted artificial intelligence and control systems. Your work
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to apply E-mail recruitment@biomed.cas.cz Requirements Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent Skills/Qualifications PhD in ecology, limnology, microbiology, or a related
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early-stage information into reliable, timely insights via user-ready dashboards, prototypes and pilot deployments, to reduce manual effort and error. Key objectives include building secure data
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 months ago
demonstrate experience in these fields, have strong team skills as well as strong personality, reliability and willingness to share knowledge and the ability to work cooperatively with all services
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Seabed response to mooring lines for floating offshore wind Offshore Wind CDT PhD Research Project Competition Funded UK Students Dr Alessandro Leonardi, Dr Alexandros Petalas, Dr Elisabeth Bowman
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Profile First Stage Researcher (R1) Positions PhD Positions Country Malta Application Deadline 12 Jan 2026 - 17:00 (Europe/Malta) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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edge AI architectures; and cutting-edge method and tools for embedded systems that balance performance, power, cost, and reliability. Your research at DTU will be jump-started with financial backing from
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corresponding foreign doctoral degree recognized as equivalent to a Norwegian PhD in Marine Technology; Reliability, Availability, Maintenance, Safety (RAMS), Human factors, Human-robotics collaboration
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structures, going from fundamental material research on microscopic and sub-microscopic scale to structural behaviour and structural reliability of concrete structures on large scale. The Magnel-Vandepitte
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. Stefanos Zafeiriou can be found at https://wp.doc.ic.ac.uk/szafeiri/ . Research Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. computer vision, machine learning