Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
the Translational Research Accelerator (TRA) theme that will contribute to model development and establishment, to address clinical questions raised within the three projects. The PhD project will be within TRA, and
-
, and deployability of deep learning models on resource-constrained edge platforms. The PhD candidate will collaborate closely with international project partners and contribute to advancing next
-
First Stage Researcher (R1) Positions PhD Positions Application Deadline 17 May 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU
-
factorization methods, the candidate will be positioned at the forefront of genetic data science. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/297729/phd-position-in
-
of seven departments in the Faculty of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/300026/phd-candidate-in-responsi
-
15th May 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Responsible Innovation and Social Knowledge in Artificial Intelligence Apply
-
For questions regarding the recruitment process, please contact: HR-Advisor Live Lindgård, email: liverl@usn.no Website for additional job details https://www.jobbnorge.no/en/available-jobs/job/297126/phd
-
Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 12 May 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded
-
well as several associated partners (https://www.nnrc.uio.no/english/research-themes/rt-5/ ). The PhD candidate will be part of a dynamic and productive academic team with a large international network covering
-
) and Reinforcement Learning (RL) to acquire manipulation skills and conduct dexterous grasping. PhD candidate will explore the use of Large Language Models (LLMs) to guide task understanding, planning