Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- SciLifeLab
- Swedish University of Agricultural Sciences
- Chalmers University of Technology
- Umeå University
- Linköping University
- Nature Careers
- Lulea University of Technology
- Linnaeus University
- Mälardalen University
- Blekinge Institute of Technology
- Jönköping University
- Karlstad University
- University of Borås
- ;
- Örebro University
- KTH
- WORLD MARITIME UNIVERSITY (WMU)
- 8 more »
- « less
-
Field
-
or more of the following programming languages/environments: Unity/Unreal, C/C++, C#, Python Basic understanding of the artificial intelligence and machine learning fields. Place of employment: Karlskrona
-
Mathematics Education (ANDI) - Linköping University (liu.se) Work assignments The mathematics department's teaching consists for the most part of basic courses on engineering programs with learning activities
-
Technology (Maria Taljegård). Main responsibilities Plan and perform research under the guidance of supervisors Apply and develop energy- and environmental systems assessment methods and tools Collect and
-
application! Work assignments Your work tasks will involve participating in the research programs within the projects 'Seeing, Knowing and Acting in the Climate-Biodiversity Nexus: Exploring Digital
-
of activities spanning nine different departments through which Linnaeus University conducts education and research. The educational programs in technology range from short courses lasting a few weeks
-
, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS ) aims to recruit and train the
-
Uppsala and in Sweden at large. For information about the SciLifeLab fellow program, see https://www.scilifelab.se/research/#fellows. SciLifeLab Fellows are also part of a broad national network of future
-
skills in English are required. Assessment criteria: Good programming skills (e.g., C++, Python, Julia), knowledge of the most common frameworks, e.g., Tensorflow and JAX, and cloud platforms/deployment
-
research and teaching plan together, which will be used to monitor and evaluate progress. The plan will be reviewed midway through the appointment (after approximately two years) to ensure the best possible
-
. The task is to understand phenomena like “model collapse” and implementing strategies to avert it, using tools from the Systems and Control field. Wallenberg AI, Autonomous Systems and Software Program (WASP