240 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" uni jobs in Denmark
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Southern Denmark
- Technical University of Denmark
- Aarhus University
- Nature Careers
- Aalborg University
- University of Copenhagen
- Aalborg Universitet
- ;
- Copenhagen Business School
- Aarhus University;
- Danmarks Tekniske Universitet
- Technical University of Denmark;
- University of Southern Denmark;
- 3 more »
- « less
-
Field
-
at The Technical Faculty of IT and Design invites applications for a fully funded PhD stipend in the area of Human-Computer Interaction, generative AI, creativity research and knowledge worker studies. The position
-
, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction
-
the interaction and interdependencies of business and society. More information about MSC’s research focus can be found here https://www.cbs.dk/en/research/departments-and-centres/department-of-ma… MSC
-
support schools, day-care centres, and youth education in creating conditions for engagement, learning, and mental health. The role of psychology in policy and governance, including how psychological
-
contaminated water, wastewater, groundwater, drinking water and surface water and related environmental media. https://envs.au.dk/en/ https://projects.au.dk/waterpurification What we offer The department/centre
-
computational biology with a strong focus on development of computational and statistical methods, particularly within machine learning and artificial intelligence. The applicant must have earned a PhD degree and
-
aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
-
, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
-
flexibility orchestration Scalable data and machine learning pipelines Digital twin architectures for cyber-physical energy systems AI-based energy system modeling, simulation, and optimization Secure and
-
related areas Have an interest in life-long learning. The department’s teaching responsibilities comprise undergraduate and graduate teaching as well as teaching in executive education and doctoral