Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Steven Ludeke to discuss their expected degree timeline. Highly proficient in at least one statistical programming language (e.g., R, Stata, SAS, Python). Candidates that can show an aptitude for learning
-
feed processing. For non-Scandinavian candidates an effort to learn to read, write, and speak Danish is a requirement. Contact Further information on the position may be obtained from Professor Jan Værum
-
(e.g., network calculus or similar timing-analysis methods) and/or dynamic reconfiguration (e.g., using Q-search, reinforcement learning, or metaheuristics). You may also contribute to developing
-
revenues of EUR 935 million. Learn more atwww.international.au.dk/
-
million. Learn more atwww.international.au.dk/
-
observations, and remote sensing data to assess the impact of global change on ecosystem productivity and sustainability. You will develop novel algorithms to integrate data-driven machine learning and process
-
thermomechanical process simulations such as casting and welding. The research activities at SDU-ME spans widely from fluid mechanics, condition monitoring, machine learning, fatigue, maritime structures
-
Post-Training Techniques: Exploring and designing post-training strategies (e.g., Supervised Fine-Tuning, Reinforcement Learning, or novel alignment protocols) targeting Danish and other Nordic languages
-
, climate solutions and energy efficiency. Learn more about our institute at https://www.sdu.dk/en/mmmi and the Centre at https://www.sdu.dk/cis . The Centre is autonomous but will collaborate closely with
-
us to explore the relation between the degree and type of processing, and the foods that result from their use. The results will be used for data machine learning, in collaboration with other partners