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, working under the mentorship and guidance of Associate Professor Courtney Fung, PhD, and Honorary Professor Bates Gill, PhD. The fellowship is structured across two areas: - 80% Research (approximately four
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, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
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: Applicants must hold, or be about to be awarded, a PhD, preferably in pharmaceutical science, formulation science, antimicrobial therapeutics or microbiology, or a related discipline with a strong microbiology
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The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Applicants must hold, or be about to be awarded, a PhD in a relevant area
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) Positions PhD Positions Application Deadline 15 Sep 2026 - 23:59 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Negotiable Hours Per Week 30-40 Is the job funded through the EU Research
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Infrastructure? No Offer Description Are you interested in shaping the future of intelligent and secure computing systems where artificial intelligence meets reliable embedded hardware? We are looking for a
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22 Jul 2026 Job Information Organisation/Company Nantes Université Department SUBATECH UMR-CNRS 6457 Research Field Physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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the United States. Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. · Terminal degree (PhD, in social and behavioral sciences health sciences, public
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-Doctoral Associate (9546 Post-Doctoral Associate) position. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/. The successful candidate will work with Dr. Thierry
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staff position within a Research Infrastructure? No Offer Description Based at School of Computer Science and Information technology, Mawson Lakes campus Work on cutting-edge energy reliability research