Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Swedish University of Agricultural Sciences
- Umeå University
- Linköping University
- Lulea University of Technology
- SciLifeLab
- University of Lund
- Nature Careers
- Jönköping University
- Mälardalen University
- Sveriges lantbruksuniversitet
- Linnaeus University
- Lunds universitet
- Malmö universitet
- Umeå universitet
- Uppsala University
- Uppsala universitet
- 7 more »
- « less
-
Field
-
, they introduce new and understudied attack surfaces. The research aims to uncover novel network-based threats targeting these systems and to develop robust countermeasures. By systematically identifying
-
a PhD student shall primarily devote themselves to their own education. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher. Our
-
and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School
-
is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (https://www.slu.se
-
reinforcement learning, robotics, and the development of reactive software systems. It enables the creation of robust, reliable programs by specifying what a system should do, while automatically deriving how it
-
RAM3 . The aim of the project is to enable the broad application of recycled aluminium in high-value products produced through mega-casting. The main goal of the PhD project is to develop high-throughput
-
and responsible development of the maritime industry. We address the multiple pressures that ships pose on the ocean and try to bridge the gap towards environmental management and marine spatial
-
a PhD student shall primarily devote themselves to their own education. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher. Our
-
Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden
-
of subclonal variation in cancer, we have developed a set of single-cell multiomics methods, such as DNTR-seq for joint WGS/mRNA-seq (see: Zachariadis et al. Mol. Cell 2020, Andrews et al. Nat. Methods 2021