Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- Nature Careers
- Aalborg University
- Aarhus University
- University of Southern Denmark
- University of Copenhagen
- Aalborg Universitet
- Copenhagen Business School
- Technical University Of Denmark
- Aarhus University;
- Graduate School of Arts, Aarhus University
- ;
- Danmarks Tekniske Universitet
- Aarhus Universitet
- COPENHAGEN BUSINESS SCHOOL
- Geological Survey of Denmark and Greenland (GEUS)
- NVIDIA Denmark
- Technical University of Denmark;
- University of Southern Denmark;
- 9 more »
- « less
-
Field
- Computer Science
- Biology
- Engineering
- Medical Sciences
- Economics
- Chemistry
- Mathematics
- Science
- Business
- Materials Science
- Environment
- Social Sciences
- Humanities
- Arts and Literature
- Electrical Engineering
- Psychology
- Linguistics
- Earth Sciences
- Education
- Philosophy
- Physics
- Sports and Recreation
- Statistics
- 13 more »
- « less
-
DTU Tenure Track Assistant Professor in Microbial ecology and microbiome engineering - DTU Bioeng...
conferences and scientific networks. Engage in interdisciplinary collaborations within the department and across institutional and external partners, including academia and industry Teach and contribute
-
characteristics. The insight will be used to assess global deep sea carbon turnover in the past and presently. Experience in lipid biomarker analysis, microbial cultivation, statistical modelling or machine
-
Biomechanics, we are developing evidence-based football and multisport programmes to promote physical activity and improve fitness levels, learning, wellbeing and health profile in children and youth
-
Aarhus University (http://bio.au.dk/en) and work in the Archaea Group (https://bio.au.dk/en/research/research-areas/microbial-processes-and-diversity/archaea-group), Section for Microbiology
-
motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
-
learning, for offshore industrial produced water treatment processes. The developed methods/solutions should be tested and demonstrated on a globally leading pilot-plant sited at Aalborg University
-
-drive systems. Across the above areas, you are expected to contribute to model-based and data-driven/AI-based methods, including digital twins, physics-informed learning, data analytics, and AI-assisted
-
learning, data analytics, and AI-assisted control/maintenance, to enhance performance, reliability and maintainability of power electronic systems. Teaching and supervision are integral parts
-
Aarhus University (http://bio.au.dk/en) and work in the Archaea Group (https://bio.au.dk/en/research/research-areas/microbial-processes-and-diversity/archaea-group), Section for Microbiology
-
, electrical engineering, etc. Prior experience in (1) image processing, particularly for radiographic and computed tomographic data as well as mesh-type data, and (2) machine learning, particularly deep