Sort by
Refine Your Search
-
Employer
-
Field
-
University: [email protected], +4593522528 Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and
-
information For further information, please contact: Professor Simona Radutoiu, [email protected] Deadline Applications must be received no later than 30 September 2026. Application procedure Shortlisting is
-
Munkegade 118, 8000 Aarhus C, Denmark. Deadline All applications must be received no later than 5 October 2026. Application procedure Shortlisting is used. This means that after the deadline for applications
-
. Qualifications Applicants at Postdoctoral Researcher level should hold a PhD in AI enabled learning, educational technology, information systems, computer supported learning, social entrepreneurship, innovation
-
For further information, please contact: Assistant Professor Pablo Alcón, [email protected] Deadline Applications must be received no later than 30 September 2026. Application procedure Shortlisting is used
-
://internationalstaff.au.dk/prearrival/ for information about arriving to and living in Denmark for both the applicants and their potential families. Application procedure Shortlisting is used. This means that after
-
highly motivated candidate who has: A PhD in agronomy, engineering, biology, technical oriented sciences or similar. Research experience on process-based models (e.g. DayCent, DNDC, or similar) to simulate
-
of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical
-
expertise in regulatory proteomics, ADP-ribosylation biology, and mass spectrometry-based technology development. Postdoctoral position #1 is funded through a recently awarded grant from the Danish Cancer
-
IMADA uniquely brings mathematicians and computer scientists together within a single department to foster theoretically well-backed, high-quality data science research. The department is home to numerous