27 development "https:" "https:" "https:" "European Commission" uni jobs at SciLifeLab
Sort by
Refine Your Search
-
-looking environment where you can both use and develop your technical skills? Then this position may be right for you. The Department of Medical Sciences (IMV) is a large clinical department with
-
A position as Associate Senior Lecturer/Assistant Professor (tenure track) within the area Data-Driven Evolution and Biodiversity in aquatic or terrestrial environments is open at the Swedish
-
As a Software Developer at the SciLifeLab Data Centre, you will develop and maintain national systems for research data, using Python and Kubernetes to build scalable and sustainable solutions. Join
-
based in the Microbial Evolutionary Genetics (MEG) Lab led by Johannes Cairns at the Department of Experimental Medical Science, Faculty of Medicine, Lund University. The group studies microbial evolution
-
of the SciLifeLab Integrated structural biology platform https://www.scilifelab.se/units/structural-proteomics/ The unit provides access to cutting-edge equipment and expertise, for the analysis
-
creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world’s leading medical universities. Our vision is to pursue the development of knowledge
-
DNA unit, you are part of a team that includes staff at Stockholm University, and is part of a research environment that includes the Human Evolution research program at Uppsala University and the
-
School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/ ) is part of
-
with the NBIS Data Management unit, you will play a key role in developing and implementing data management to meet future needs within data-driven Life Science research. More information about NBIS can be found
-
evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io