Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- Chalmers University of Technology
- University of Lund
- Linköping University
- Nature Careers
- Umeå University
- Blekinge Institute of Technology
- Lulea University of Technology
- Mälardalen University
- Karlstad University
- Linnaeus University
- Swedish University of Agricultural Sciences
- ;
- ; Newcastle University
- NORDITA-Nordic Institute for Theoretical Physics
- WORLD MARITIME UNIVERSITY (WMU)
- 6 more »
- « less
-
Field
-
totaling 60 ECTS credits) and join an international research team with backgrounds in sociology, political science, network science, statistics, and machine learning. More information on the PhD program can
-
of robotics, electromobility and autonomous driving. We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and
-
administrative support systems Solid computer skills and proficiency in Microsoft Office (including Excel), and the ability to adopt new digital tools is required. Fluency to express yourself in speech and writing
-
consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
-
approach that integrates wireless communication, computer vision, and machine learning to optimize PC transmission from sensors to an edge server for remote registration. The research is funded by Wallenberg
-
developing synthesis and verification techniques based on, e.g., model checking combined with machine learning, to facilitate guaranteeing safety and security of industrial autonomous systems. The employment
-
sustainable design, product development and environmental assessment will conduct case studies to integrate user behaviour into the early design of dishwashers, washing machines, refrigerators and ovens
-
/thesis: Challenges and opportunities with remote sensing and machine learning in forestry Research subject : Soil science Description: WIFORCE Research School Do you want to contribute to the future
-
driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize workflows when developing therapeutic antibodies. Duties – what we expect from you As an
-
include absence due to illness, parental leave, appointments of trust in trade union organizations, military service, or similar circumstances, as well as clinical practice or other forms of appointment