Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Swedish University of Agricultural Sciences
- Umeå University
- Linköping University
- Lulea University of Technology
- Mälardalen University
- University of Lund
- Nature Careers
- Jönköping University
- Blekinge Institute of Technology
- Linnaeus University
- Uppsala University
- 3 more »
- « less
-
Field
-
We are currently offering a PhD student position focused on developing new methods for molecular engineering that leverage live-cell imaging data and artificial intelligence (AI). The position is a
-
, 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
-
Are you interested in developing computational tools to understand the detailed mechanical behaviour of multi-phase materials? Then this PhD position at Chalmers University of Technology might be
-
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
-
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
-
efficiency, flexibility, and sustainability. Within this research project, Linköping University is collaborating with leading industrial companies to develop digital analysis and decision-support tools
-
application! A brighter future! How does lighting design affect future design and product development processes and how digital tools such as VR/MR can contribute to experimentation and evaluation. Your work
-
Sweden. The vision of WASP-HS is to foster novel interdisciplinary knowledge in the humanities and social sciences about AI and autonomous systems and their impact on human and social development. WASP-HS
-
machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
-
of knowledge that contributes to the sustainable development of society. We collaborate with growers and industries to develop the crops of the future and actively shape the contents of tomorrow's