Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- SciLifeLab
- Umeå University
- Karolinska Institutet (KI)
- Swedish University of Agricultural Sciences
- Linköping University
- Lunds universitet
- Umeå universitet stipendiemodul
- Blekinge Institute of Technology
- Mälardalen University
- Luleå University of Technology
- The Swedish University of Agricultural Sciences
- University of Lund
- Uppsala universitet
- Institutionen för biologi och miljövetenskap
- Lulea University of Technology
- Sveriges Lantbruksuniversitet
- University of Borås
- University of Skövde
- Uppsala University
- universitypositions
- Örebro University
- 13 more »
- « less
-
Field
-
expertise in network resilience or survivability and in network optimization. Solid programming skills (for example in Python) and hands on experience with mathematical optimization and network modelling. A
-
platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional microtumor models. The project
-
an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
-
production, recycling and value chain optimisation. The research focuses on applied AI in areas such as sensor data analysis, time series modelling, automation and decision support, with strong links
-
partners to identify challenges, co-design interventions, and evaluate alternative work practices and management approaches. Contributing to the development of evidence-based frameworks, models, and toolkits
-
Description We are now looking to appoint a postdoc in Soft Electronics, placed at the Department of Science and Technology, Campus Norrköping Research area The Laboratory of Organic Electronics (LOE, https
-
and AI methods for materials discovery. Design and implement active-learning workflows for autonomous exploration of materials spaces. Develop and evaluate generative AI models for inverse materials
-
platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional microtumor models. The project
-
. The work involves the development of electromagnetic models, numerical simulations, prototype realization, and measurements, as well as dissemination of research results through leading international
-
, Strakosas et al., Science, 2023, https://doi.org/10.1126/science.adc9998 ). This position addresses the emerging opportunity to bridge conventional implantable devices with bio-integrated, in situ formed