Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Aarhus University
- University of Copenhagen
- Aalborg University
- Copenhagen Business School
- Aalborg Universitet
- Technical University Of Denmark
- Technical University of Denmark (DTU)
- Geological Survey of Denmark and Greenland (GEUS)
- University of Southern Denmark (SDU)
- Aarhus University (AU)
- Aarhus University;
- Roskilde University
- University of Southern Denmark
- ;
- RegionH
- TEGNOLOGY APS
- Technical University of Denmark;
- 7 more »
- « less
-
Field
-
and fatigue analysis. Experience in coding (e.g., Python) and in the use of structural analysis software (e.g., Abaqus, OpenSees) is desirable. Familiarity with virtual sensing techniques, state
-
, computer science, computational biology, or similar fields. The applicant is expected to have demonstrated experience working with state-of-the-art deep learning approaches for detection and/or classification
-
, present research at international conferences, apply for external funding in Denmark and internationally and disseminate scientific knowledge to students and practice. Prior experience in securing external
-
research profile is clearly connected to thermal Modelling, and you can demonstrate experience with CFD modelling. You have solid skills in modelling and simulation using Tools and data processing and
-
topics. Your competencies You hold a PhD in a relevant field such as industrial ecology, environmental engineering, sustainability science, environmental management or a related area. You have experience
-
across the AURORA European University Alliance. The position is open either at the level of a Postdoctoral Researcher position or a Research Assistant with relevant master’s degree and experience
-
Researcher position or a Research Assistant with relevant master’s degree and experience. The project brings together European universities, EIT KICs, faculty members, innovation support units, and external
-
Denmark. More information about the research group is available here: https://chem.au.dk/AmorphousMatLab What you will do The postdoc will co-lead beamtime proposals and campaigns, and will work with
-
international network of collaborators and visitors. Further information: Department of Computer Science: https://www.science.ku.dk/english/about-the-faculty/organisation/ Faculty of Law: https://jura.ku.dk
-
will be considered: Essential experience and skills: A strong academic background in computer science, machine learning, applied statistics or a closely related field. Practical experience with AI