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innovation, and helping Canadian businesses develop leading-edge technologies for civilian and military use. With expertise across fields such as transportation, quantum science, medical countermeasures and
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16 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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Location: BI Norwegian Business School, Oslo, Norway Position: One PhD candidate position, full time, fixed-term contract of 48 months Doctoral programme: PhD specialisation in Communication at BI Norwegian
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will carry out their duties as part of the GBmetabo
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in the Amsterdam School of Communication Research (ASCoR) and are part of the Youth and Media Entertainment Program Group . You will be working together with Jochen Peter and Toni van der Meer. What
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generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal
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benefit from the state-of-the-art research facilities and financial support programme through the ERIM Support Programme (ESP), that ERIM set up for a wide range of research-related activities such as
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the scenario generation and assessment capability the above requires. Make these tools usable by other researchers and policymakers, in line with the lab's open-science approach. Facilitate future expansion to
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 8 days ago
of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 19 Oct 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number FENG.02.01-IP.05
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the project. Due to the nature of this project, preference will be given to candidates with experience in the reduction and analysis of X-ray, radio or other time-series data, and in scientific programming in