Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Uppsala universitet
- Swedish University of Agricultural Sciences
- Linköping University
- University of Gothenburg
- Linkopings universitet
- Luleå University of Technology
- Umeå University
- Chalmers University of Technology
- Chalmers tekniska högskola
- Karlstad University
- Karlstads universitet
- Lulea University of Technology
- Lunds universitet
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Umeå universitet
- University of Lund
- Uppsala University
- 8 more »
- « less
-
Field
-
eDNA and Forest Biodiversity Monitoring (TRACE-AIR Project) Research subject Biology Description: The main objective of this PhD project is to use a globally unique and most extensive (1974 onwards
-
: The main objective of this PhD project is to use a globally unique and most extensive (1974 onwards) airborne environmental DNA (air eDNA) dataset from Sweden, to test if the air-eDNA method can be used as
-
structured communication can support shared decision-making and enhance treatment adherence. Key objectives include: Analyzing and Prevention. Conduct empirical research to: Assess how changes in survival
-
inform more targeted prevention strategies. Key objectives include: Analyzing Inequality and Prevention: Conduct empirical research to assess how prevention policies and healthcare innovations affect
-
for hypergraphs and partially ordered sets (POSets), funded by the Swedish Research Council. This project is concerned with saturation problems for two classes of combinatorial objects: hypergraphs and posets
-
carried out at Stockholm University will focus on prosumers in energy markets in order to inform market design. As an overarching objective, the project will tackle how the rise of prosumers and
-
manufacturing are critical for their commercial viability and long-term performance. The objective of this proposal is to utilize synchrotron techniques to explore why these solar cells, especially those based
-
-time employment for a duration of 3 years, starting in February 2026. Objective of the project: Menopausal hormone therapy (MHT) is used to treat debilitating menopausal symptoms, which affect up to 70
-
doctoral student who has Competence and skills: -Strong foundation in computer vision (e.g., object detection, image segmentation) and NLP (e.g., text reasoning, language models). -Knowledge of generative AI
-
reconstruction, and the need to evaluate generated and transmitted data in terms of their relevance and utility for achieving specific objectives. To address these challenges, the project will develop theoretical