Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Systems at The Technical Faculty of IT and Design invites applications for PhD stipends or integrated stipends in the field of Machine Learning for Intelligent Hearing Assistance in Complex Acoustic
-
physically and functionally coupled across domains of life. The project will involve working with syntrophic deep-sea consortia, performing strictly anoxic physiological experiments, and developing electrode
-
physically and functionally coupled across domains of life. The project will involve working with syntrophic deep-sea consortia, performing strictly anoxic physiological experiments, and developing electrode
-
approaches to business ethics. The successful candidate is expected to advance research that engages foundational philosophical questions while addressing the complex moral dilemmas faced by contemporary
-
DTU Tenure Track Assistant Professor in Microbial ecology and microbiome engineering - DTU Bioeng...
developing and applying experimental model systems such as synthetic communities to investigate complex microbial communities. Expertise in studying microbial interactions, integrating chemical, molecular, and
-
turbine measurements to expected variability across large real-world turbine populations). Your competencies We are looking for a candidate who is driven by complex, interdisciplinary challenges and has a
-
. The ideal candidate should have experience or interest in the following areas: Electromagnetic and multi-physics modelling, Handling complex electromagnetic problems, Modeling of power electronic systems and
-
more about the Department of Health Science and Technology at: https://www.hst.aau.dk. The Aalborg area has a high quality of life and work/life balance. There is a lively cultural scene, modern
-
22 Mar 2026 Job Information Organisation/Company Aalborg Universitet Department Faculty of Social Sciences and Humanities, Department of Culture and Communication, Psychology and Culture, Humanity
-
interaction, social networks, fairness, and data ethics. Our research is rooted in fundamental science and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design