Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- SciLifeLab
- Chalmers University of Technology
- Linköping University
- Umeå University
- Karolinska Institutet
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Mälardalen University
- Uppsala universitet
- Lunds universitet
- University of Lund
- Blekinge Institute of Technology
- Jönköping University
- Karolinska Institutet, doctoral positions
- Luleå University of Technology
- Nature Careers
- University of Borås
- Uppsala University
- 8 more »
- « less
-
Field
-
of quantum chemical calculations (DFT) is advantageous. An interest in machine learning and AI-based methods, as well as programming skills in languages such as Python or MATLAB/Simulink, is beneficial
-
cybersecurity team at Luleå University of Technology and also our partner within Cybercampus Sweden, RISE. We will use methods and technologies including expert systems, evolutionary algorithms, machine learning
-
teach bachelor, Masters and PhD level courses addressing all of these subject areas. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu
-
courses. Most of your working time will be devoted to your own research. As a researcher, you often act as a neutral party in various contexts, which offers a great opportunity to learn how to lead
-
will use machine learning methods to develop affinity ligands. These methods have been transformative for protein design, allowing generation of novel proteins which can suit a precise need. In this 4
-
met no later than at the time the employment decision is finalized, which occurs when the employment contract is signed. Additionally, you should have a willingness to learn new things and explore
-
the possibility to teach up to 20%, which extends the position to five years. A dynamic and inspiring working environment in the coastal city of Gothenburg . A starting salary of 34,550 SEK per month (valid from
-
and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
-
environments.DutiesThe PhD student will carry out research in the area of cooperative autonomous systems. The successful candidate will explore topics such as: Multi-agent reinforcement learning Distributed control
-
deadlines, personal suitability. Very good spoken and written English skills are required. Knowledge of both spoken and written Swedish or willingness to learn Swedish within two years from the start of