Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
funded by the CAPeX Pioneer center (https://capex.dtu.dk/ ). The project involves design, synthesis, characterization, and testing of molecular transition metal coordination compounds, as electrocatalysts
-
MSc degrees in Computer Science, a BSc degree in Artificial Intelligence, and an MSc degree in Data Science. More information about the department can be found at https://imada.sdu.dk/ . The University
-
28 Oct 2025 Job Information Organisation/Company University of Southern Denmark Department Department of Business and Sustainability Research Field Sociology Researcher Profile First Stage
-
, departments and faculties, and with other organisations like educational institutions, municipalities, and companies. More information about the department can be found at https://imada.sdu.dk/ . Additional
-
degrees in Computer Science, a BSc degree in Artificial Intelligence, and an MSc degree in Data Science. More information about the department can be found at https://imada.sdu.dk/ . The University
-
to Professor and FORM Director Fabrizio Montesi (fmontesi@imada.sdu.dk ) for more information. Hosting environment FORM is embedded in the Section of Artificial Intelligence, Cybersecurity, and Programming
-
researcher in SDU Robotics. Further information Please visit us on LinkedIn: https://www.linkedin.com/company/sdu-robotics . Further information about this position is available via email from Tenure Track
-
speaking Danish. The candidate is expected to fulfil the criteria for enrolment as a Ph.D. student at the University of Southern Denmark. For more information, please visit: (https://www.sdu.dk/en/forskning
-
mathematics and mathematical physics. Odense is a fast-growing international community with an open Scandinavian culture, affordable housing and living costs. For more information on the QM centre, please visit
-
, bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and