Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Lunds universitet
- Uppsala universitet
- Linköping University
- Sveriges lantbruksuniversitet
- University of Lund
- Chalmers University of Technology
- SciLifeLab
- Nature Careers
- Umeå universitet
- Linköpings universitet
- Mälardalen University
- Stockholms universitet
- KTH Royal Institute of Technology
- Lulea University of Technology
- Luleå University of Technology
- Malmö universitet
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Chalmers University of Techonology
- Chalmers tekniska högskola
- Fureho AB
- Institutionen för biomedicinsk vetenskap
- Karolinska Institutet, doctoral positions
- Mälardalens universitet
- School of Business, Society and Engineering
- The University of Gothenburg
- 17 more »
- « less
-
Field
-
that lymphopenia is associated with decreased overall survival in cancer patients. Currently, there are no established methods that enable the modification of radiotherapy protocols to prevent lymphopenia without
-
capabilities of nonlinear quantum systems, employing tools from quantum information theory and quantum metrology. The work will involve learning and applying mathematical methods to solve open quantum dynamics
-
importance to develop innovative approaches to adapt Sweden’s extensive and essential forest systems to the rapidly changing climate. Using cutting-edge multidisciplinary methods in evidence synthesis, policy
-
and advanced characterization methods and device fabrication. The deadline for application is 2025-10-15, and the starting date is 2026-02-01 or by agreement. More details on the application
-
approaches that combine artificial intelligence, machine learning, natural language processing, and social sciences. This collaborative and cross-sectoral approach aims to produce robust methods for evaluating
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing new machine learning methods for multimodal data and
-
: https://wasp-sweden.org/ Project description Trustworthy machine learning is an umbrella term that provides methods and tools to ensure that AI and ML systems are verifiable, robust, secure, privacy
-
parallel to what has recently been shown in human gut health, microbial diversity on both leaves and roots is an important factor in overall plant health. However, the connections between plant disease and
-
leaves and roots is an important factor in overall plant health. However, the connections between plant disease and plant-associated microbial communities are not well known. Prevalent plant pathology
-
the electronic properties of organic semiconductors through light-driven chemical doping. The work will involve combining tailored materials design with advanced characterization methods to enable new device