Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
imaging and drug repurposing. As our new postdoc, you will be a key driver of this effort: designing and running high-throughput drug screens on patient-derived tumoroids, developing and applying Cell
-
systems and models to enhance learning through AI technology. The Postdoc fellow will engage with developing models, frameworks and technologies that facilitates more efficient development of rich
-
focused on digital tools and methods for urban planning and decision-making. Develop and apply computational urban models, simulations, and data-driven frameworks to support urban policy and planning
-
Recognised Researcher (R2) Positions Postdoc Positions Country Norway Application Deadline 20 Dec 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job
-
neXtSIM: next-generation sea-ice model. The postdoc will work directly with other members of the DynAMIC team, including project investigators and the PhD Student. The candidate will further join a growing
-
environments, including but not limited to Generative AI and multi-agent ecosystems. The Postdoc fellow will engage with developing and finetuning models from the provided by the partners data (e.g., small
-
learning, including designing, developing and evaluating systems and models to enhance learning through AI technology. The Postdoc fellow will engage with developing models, frameworks and technologies
-
, operational, and economic considerations. The research will involve: Mathematical modeling of measurement uncertainty and its impact on decision-making. Physics-based simulations of drilling dynamics under
-
technical, operational, and economic considerations. The research will involve: Mathematical modeling of measurement uncertainty and its impact on decision-making. Physics-based simulations of drilling
-
ecosystems. The Postdoc fellow will engage with developing and finetuning models from the provided by the partners data (e.g., small models, employ RAGs) and investigate the possibility to include those models