Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Umeå University
- Uppsala universitet
- Lunds universitet
- Chalmers University of Technology
- Swedish University of Agricultural Sciences
- Stockholms universitet
- Umeå universitet
- University of Lund
- SciLifeLab
- Luleå University of Technology
- Mälardalen University
- Sveriges lantbruksuniversitet
- Jönköping University
- Linköpings universitet
- Lulea University of Technology
- Nature Careers
- University of Gothenburg
- Sveriges Lantbruksuniversitet
- Chalmers University of Techonology
- Chalmers tekniska högskola
- Fureho AB
- Institutionen för biomedicinsk vetenskap
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Linkopings universitet
- Linnaeus University
- Mälardalens universitet
- School of Business, Society and Engineering
- Stockholm University
- The University of Gothenburg
- 21 more »
- « less
-
Field
-
of Electrical Engineering. Project description: Autonomous vehicles for mining and mobile robotics for industrial processes require complex motion planning as well as safe model-based predictive control and
-
analogous to puberty, which represent windows of increased sensitivity to environmental pollutants. Your work will focus on advancing physiologically based kinetic models by integrating tissue-specific data
-
in electron dose and scan stability, microscopy data is often affected by significant noise and scan distortions. High-quality ground truth data is usually unavailable or costly to collect. To overcome
-
: Intermediate Storage and Distribution for Maritime and Land Transport”, funded by Energimyndigheten. The project addresses key challenges in enabling large-scale compressed gaseous hydrogen infrastructure in
-
analogous to puberty, which represent windows of increased sensitivity to environmental pollutants. Your work will focus on advancing physiologically based kinetic models by integrating tissue-specific data
-
Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and
-
have some experience with scientific programming, in particular in Python, PyTorch or similar, in particular with respect to advanced data analysis or modelling operations. PhD students at the department
-
areas, of which at least 30 credits must be at an advanced level. Courses in statistical analysis, quantitative methods, or mathematical models acquired outside these subject areas may also be included
-
areas, of which at least 30 credits must be at an advanced level. Courses in statistical analysis, quantitative methods, or mathematical models acquired outside these subject areas may also be included
-
Sociology of Law or another relevant subject as deemed by the employer. A minimum of 240 ECTS credits, of which at least 60 must be at the advanced level. At least 30 ECTS credits in Sociology of Law at