Sort by
Refine Your Search
-
Listed
-
Employer
- University of Lund
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Nature Careers
- Linköping University
- Lulea University of Technology
- Lunds universitet
- Linnaeus University
- Luleå University of Technology
- SciLifeLab
- Swedish University of Agricultural Sciences
- Umeå University
- Karolinska Institutet (KI)
- Mälardalen University
- Umeå universitet stipendiemodul
- 5 more »
- « less
-
Field
-
-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
-
willing and able to learn quickly within a collaborative and interdisciplinary team. Instructions on how to apply For more information and documents/templates/europass link, please visit https
-
proposal that will be further developed and contextualized in collaboration with the research leader in the research environment. Your research topic needs to be relevant for student learning in higher
-
bioinformatics methods have made significant strides, AI approaches - particularly deep learning - are revealing patterns and relationships in biological data that were previously inaccessible. As a postdoctoral
-
of international collaborators. As a member of the lab, you will join an international and dynamic team of experimental and computational biologists, and gain access to additional training and networking
-
expertise. In addition, Uppsala University has a highly developed innovation office that gives support for commercialization and external collaboration. Read more here. Uppsala University offers one
-
collaborate with multiple stakeholders and conduct applied research in silviculture, forest ecology, pathology, policy and planning. We teach bachelor, Masters and PhD level courses addressing all
-
commitment to lifelong learning. The department emphasizes strong collaboration between academia, industry, and society, with a clear focus on utilisation. M2 is characterised by an international environment
-
laureate Emmanuelle Charpentier, who discovered the CRISPR-Cas9 gene editing technology during her time as a scientist and group leader in Umeå. The ‘EC’ Postdoctoral fellow will: Develop a collaborative
-
learning approaches. Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills complement and strengthen ongoing research within