221 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" Fellowship research jobs at University of Oslo in Norway
Sort by
Refine Your Search
-
information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292751/postdoctoral-fellow Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/292751/postdoctoral-fellow
-
the project lead if you have further questions about the project. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293031/postdoctoral-research-fellow-in-studying-the-role
-
machine learning. Colourbox via Unsplash Colourbox What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities
-
. The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked interactions. This involves (i) developing predictive machine learning models that forecast
-
with respect to academic credentials. Required qualifications: Master’s degree or equivalent in mathematics, physics, control, cybernetics, computer engineering, automation, or related fields. Foreign
-
hypotheses related to metabolic rate increases, energy allocation shifts, temperature-dependent bioaccumulation, and varying toxicity across biological levels. For more information and how to apply: https
-
and development of PhD candidates and postdoctoral fellows, including individually tailored career development plans with formal supervision and project-based learning. Secondments, consortium meetings
-
, causal inference, and machine learning to study real-world treatment patterns, effectiveness, and safety of monoclonal antibodies (mAbs) used in autoimmune, inflammatory, and neurological diseases. Using
-
machine learning techniques to develop emulators for the theoretical predictions of various observables as function of cosmological parameters. The candidate will develop and use skills in topics such as
-
severity of cyber threats. Both defenders and attackers are now using Machine Learning (ML) and Artificial Intelligence (AI), therefore research is needed to investigate and design more advanced