Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of life sciences. Your mission As a researcher assistant, you will play a vital role in building a next-generation discovery engine for intracellular cyclic peptide therapeutics. The experimental work
-
The Department of Cell and Molecular Biology (ICM) (https://icm.uu.se) is organized into seven research programs, each focusing on distinct areas within cell and molecular biology i.e. computational
-
technical staff. Research group website: https://johannescairns.github.io/meg-lab/ . We offer Lund University is a government agency, which means you receive special benefits, generous vacation, and a
-
Information about union representatives, see https://liu.se/en/work-at-liu/help-for-applicants . Application procedure Your application must be received no later than 30 March, 2026. We welcome applicants with
-
biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in
-
negotiated salary progression. More information about employee benefits is available https://liu.se/en/work-at-liu/employee-benefits . Union representatives Information about union representatives, see https
-
, database administration, and equipment maintenance. You will also participate in the evaluation and implementation of new tools and protocols, and assist in the training of new group members. Your profile
-
at https://nbis.se. Duties We are seeking a candidate who wants to help enable life science research in Sweden that goes beyond what is achievable by individual researchers, a single university, or a single
-
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
-
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