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area networks (WAN), cloud networks, and other data communication networks. How to Apply: Interested candidates may apply online at https://jobs.coastal.edu/postings/122577 . Applicants must submit a
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(MRO), as well as interpretation of results and collaboration with CEMol teams and partner institutions. Mandatory requirements: PhD in Materials Science or related fields; proven experience in
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. The Office of Research oversees sponsored research administration, research development, and contract management across the University. Job Summary The job develops software to support the data acquisition
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written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations
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Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme Electronic and Electrical Engineering; as per November 1, 2026, or as soon as
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 5 hours ago
of African descent. Black applicants who also identify as members of 2SLGBTQIA+ communities are especially encouraged to apply. Required Qualifications A completed PhD, or PhD completed by the appointment
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, which provides a great opportunity to be involved in challenging development projects. Qualifications To be qualified for the position, you must hold a PhD degree in Control Engineering, Computer
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CoE (https://www.med.uio.no/hth/english/ ) is inviting applications for a three‑year PhD position. The recruited candidate will take part in UiO Emerging Technologies Initiative Project FTI-NAM. NAM
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skills within universities, colleges and research organisations. Further information is available at: https://iuk-ktp.org.uk/ THE PROJECT The University of Essex, in partnership with Swann Engineering
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | about 2 months ago
projects DeepGreen and CAMELIA, which are dedicated to developing hardware and software technologies for the acceleration of Artificial Intelligence workloads. Under the DeepGreen project, work focuses on