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simulations of planet formation. The work is carried out in collaboration with the PhD fellow, who is yet to be hired, and the entire GREP Team. The main purpose of a postdoctoral fellowship is to provide
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(PhD) since 2023 or have a scheduled doctoral defense date confirmed in writing by their supervisor. PhD in related field completed since 2023 Extensive knowledge of political systems, political
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, hybrid models, bio-inspired approaches, multi-agent systems Experience with real-time or embedded systems, prototyping, open source development All candidates and projects will have to undergo a check
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for databehandling Utløpsdato: Session Navn: SERVERID Leverandør: .jobbnorge.no Databehandlingsansvarlig: Microsoft, ASP.NET Formål: Støtter integrering eller "embedding" av en tredjepartsplattform på nettsiden
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
, and testing embedded systems, control architectures, and robotic platforms. Collaborating with PhD students, engineers, and academic staff across interdisciplinary domains. Leading publications in top
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attract the applicant. PhD Research Fellow in Robotics available at the Department of Technology Systems. Apply for this job See advertisement About the position Position as PhD Research Fellow in Robotics
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research in drone autonomy, sensing, and cooperative multi-agent systems. Designing, implementing, and testing embedded systems, control architectures, and robotic platforms. Collaborating with PhD students
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‘ACTION’: an RCT of CBD in the treatment of chemotherapy induced peripheral neuropathy with embedded MRI. The post is fully time (35 hours per week); however, we are open to considering part-time or
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. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Place of work is the Department of Mathematics/Integreat at Blindern, Oslo. We welcome applicants with a
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of academics, PDRAs and PhDs. Within the multidisciplinary team, this post will be principally responsible for delivering a new system-level manufacturing knowledge model for CMC with a real-time