Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- University of Lund
- Linköping University
- Lunds universitet
- Nature Careers
- Chalmers tekniska högskola
- Umeå University
- Umeå universitet stipendiemodul
- Jönköping University
- Linnaeus University
- SciLifeLab
- Swedish University of Agricultural Sciences
- University of Gothenburg
- Chalmers te
- Linköpings universitet
- Linneuniversitetet
- Lulea University of Technology
- Luleå University of Technology
- Lund University
- Mälardalen University
- Mälardalens universitet
- Sveriges Lantbruksuniversitet
- Sveriges Lantrbruksuniversitet
- Sveriges lantbruksuniversitet
- chalmers tekniska högskola
- 17 more »
- « less
-
Field
-
Experience with serology and high-parameter flow cytometry Expertise in statistical and bioinformatic analysis of immunological datasets Experience with the development or use of viral infection models
-
. The computational work includes, for example, the analysis of omics data and computational modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics
-
to emerging digital technologies Interplay between technology development and business model evolution - how advancements in technologies reshape value creation and value capture, necessitating continous
-
different mixing and reactive properties compared to conventional fuels. In this project, turbulent mixing and combustion of hydrogen in air will be studied through optical experiments and numerical modelling
-
qualitative approaches like interviews and workshops, and experimental work involving the development and evaluation of prototype systems. The current position has been planned for modelling sustainability and
-
language model–driven agents to autonomously configure and deploy 6G and cloud functions. The project leverages digital twin environments and validation frameworks to ensure reliable, secure, and
-
ecosystem functioning. The postdoctoral project will focus on analyzing and modeling tree architecture in relation to forest vitality and stress predisposition. The work will combine 3D structural data (from
-
combination with machine learning and/or data mining techniques • Explainable AI/ML using visualization • AI/ML-empowered visual analytics of multivariate networks (network embeddings, …) • Large Language Model
-
. The postdoc will systematically model adversarial capabilities, develop proactive mitigation strategies, and evaluate their effectiveness in large-scale experimental settings. Who we are looking
-
groundbreaking work on enzyme-triggered electrode fabrication in animal models (Strakosas et al., Science, 2023; https://doi.org/10.1126/science.adc9998 ), this project leverages enzymatic polymerization to create