Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Lund
- Nature Careers
- Chalmers University of Technology
- Umeå University
- Swedish University of Agricultural Sciences
- SciLifeLab
- Linköping University
- Lulea University of Technology
- Mälardalen University
- Jönköping University
- Linnaeus University
- ;
- Blekinge Institute of Technology
- KTH Royal Institute of Technology
- NORDITA-Nordic Institute for Theoretical Physics
- The Royal Institute of Technology (KTH)
- University of Borås
- Uppsala University
- 8 more »
- « less
-
Field
-
other relevant degrees, Contact information for at least two reference persons, Any other documents you wish to submit in support of your application. Further information For further information, please
-
of physiological data collected during behavioural studies. Further information The position is a fixed term position for eight months at 100 per cent of full time and starting by agreement. Interviews will be held
-
during infection using machine learning Detailed information on and specific requirements for each project is given below. The IceLab Multidisciplinary Postdoctoral Program funded by Kempestiftelserna
-
, production, stress, environmental factors and diseases. For more information about the department or division visit: https://www.slu.se/en/about-slu/organisation/departments/Animal-Biosciences/ Read more about
-
expanding area at the School of Engineering, and we are hiring several assistant professors, postdocs and doctoral students. For more information about our department, visit our website . The newly
-
will include clinical and biomedical research projects. It will also involve methodological development aimed at combining imaging techniques and data analysis to provide a more integrated understanding
-
to altered patterns of gene expression. We have assembled a unique data set of three independent lineages of Italian sparrow Passer italiae and their parental species, with data on gene expression and tissue
-
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
-
but is expected to engage in frequent collaborative work across the Öresund region, including regular experimental coordination with Copenhagen-based researchers and data collection at national
-
of myocarditis through a systems medicine approach. By integrating data from genomics, virology, immunology, metabolomics, and microRNA analyses, all derived from well-characterized patient cohorts, we aim