Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- SciLifeLab
- Umeå University
- Blekinge Institute of Technology
- Lunds universitet
- Uppsala universitet
- Linköping University
- University of Lund
- Lulea University of Technology
- Luleå University of Technology
- Swedish University of Agricultural Sciences
- Örebro University
- Umeå universitet
- Umeå universitet stipendiemodul
- University of Skövde
- European Magnetism Association EMA
- Göteborgs universitet
- Helmholtz-Zentrum München
- Karlstads universitet
- Karolinska Institutet, doctoral positions
- Linnaeus University
- Linnéuniversitetet
- The Faculty of Technology and Society
- The University of Gothenburg
- The University of Skövde
- University of Borås
- Uppsala University
- universitypositions
- 19 more »
- « less
-
Field
-
: detection of objects and relations between objects, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions carried out and
-
research and education, openness and collaboration. As a Teaching Fellow, you will contribute to this goal through engaging teaching and learning in a collegial and inclusive environment. The position also
-
and application of AI/machine learning methods and statistical modelling for the analysis of biological and medical data. Demonstrated ability to communicate and present scientific research findings in
-
, C++ or similar languages. Good knowledge of network communication and integration between different systems, such as robots, AI and digital twins. Good knowledge and experience of machine learning
-
required to meet the eligibility criteria. Of secondary importance are: Experience with Python and relevant libraries for machine learning, optimization and simulation. Documented expertise in simulation
-
algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
-
: Onboarding and Integration, and Innovation and Creative Capacity. The work will focus on investigating how hybrid work arrangements influence learning, collaboration, innovation, and organizational performance
-
education may be completed during the first year of employment. Documented ability to teach in Swedish or English is a requirement unless special reasons prevail. Personal capabilities necessary to carry out
-
, drawing on machine learning where it strengthens these methods. The research supports mission-critical scenarios and feeds into an end-to-end resilience proof of concept developed together with Swedish and
-
in English (reading, writing, speaking). • Show ability to work independently as well as in a team. • Good knowledge in AI, machine learning, data science and mathematics. • Good knowledge in one