Sort by
Refine Your Search
-
Listed
-
Employer
- Swedish University of Agricultural Sciences
- KTH Royal Institute of Technology
- SciLifeLab
- University of Lund
- Umeå University
- Chalmers University of Technology
- Örebro University
- Blekinge Institute of Technology
- Linköping University
- Lunds universitet
- Mälardalen University
- Karlstad University
- Linnaeus University
- Nature Careers
- Karolinska Institutet (KI)
- University of Gothenburg
- Jönköping University
- Karlstads universitet
- Lulea University of Technology
- University of Borås
- European Magnetism Association EMA
- KTH
- Stockholms universitet
- Sveriges lantbruksuniversitet
- Umeå universitet
- Uppsala universitet
- 16 more »
- « less
-
Field
-
, including high-throughput screening, high-content imaging, omics technologies, and computational approaches, to elucidate mechanisms of toxicity. Ultimately, our work contributes to a deeper understanding of
-
. Your work will include experimental tumor models, where you will analyze tissues using both histological methods and flow cytometry, as well as RNA sequencing. In addition to your experimental work with
-
doctorate emphasizes design-driven processes and artistic exploration as methods of inquiry, bridging academic research and the professional practice of architecture. Research within this framework may follow
-
University, Halmstad University, and Blekinge University of Technology. ELLIIT in Lund is spanning four departments: Electrical and Information Technology, Computer Science, Automatic Control and two research
-
improvement and standardization of existing analysis methods (e.g. single-cell applications, basic histology and microscopy), advisory meetings with researchers or other users of the facility in association
-
to study host-microbiome interactions at the spatial level in the colon. The research activities of the doctoral student will focus on the experimental and computational analysis of spatial gene expression
-
an absolute requirement. Extensive experience in mouse work is also essential. Methods to be used include: intranasal and intratracheal instillation, various vaccinations routes, intravenous injections
-
and RAG modules challenges conventional architectural styles, architecture evaluation methods, and governance models, requiring new approaches for modularity, decoupling, versioning, deployment, and
-
on developing methods for the verification and validation of systems that embed machine learning or generative models, addressing challenges such as non-determinism, data drift, and explainability. The project
-
and examine students at every level of education an ability to vary teaching methods and examination formats in relation to anticipated study results and the nature of the subject experience of