Sort by
Refine Your Search
-
Are you analytically sharp and interested in how artificial intelligence can support learning and teaching? Then we have an exciting opportunity for you at Aarhus BSS. We are looking for a student
-
postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data. The project is funded
-
of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
-
, extract, and standardise functional information 2. Develop computational tools that integrate evolutionary and functional information using comparative genomics and deep learning approaches 3. Apply
-
: Overcoming Inequity in Embodied Learning in Danish Vocational Education and Beyond, funded by Independent Research Fund Denmark. This is a full-time (37 hours per week), fixed-term (24 months) postdoctoral
-
the consequences of actions, and adapt reliably when the physical world changes? The project connects multimodal perception, reasoning and action with predictive learning and edge intelligence. Research directions
-
the implications of generative and agentic AI for areas such as leadership, everyday work practices, team communication, professional learning, careers, and inclusion. Doctoral candidates become part of
-
are expected to teach and supervise students at Bachelor’s, Master’s and PhD level and to carry out research of the highest international standards, which contributes to developing the academic field
-
, learning, coordination, and information sharing into experimental measures. Help run pilot studies comparing how individuals, teams, and AI agents search, make decisions, adapt and get stuck, including
-
calls. New research areas may be added until the application deadline. Beyond the research conducted during the PhD project, a successful candidate is expected to teach three to four hours weekly during