Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
-
Field
-
. Teamwork and collaboration. Scientific data analysis skills with application of theory, frameworks, and computational science skills. Familiarity with data science software. Academic writing skills. Public
-
academic research lab environment -Software programming for scientific simulations -Interdisciplinary and multi-physics relevant strong background -Design of computational algorithms for 1st /2nd order time
-
., proteins, DNA, RNA, and biomolecular complexes such as protein-protein and protein-DNA). Proficiency in NMR-related software, as well as designing and implementing new NMR pulse sequences, is preferred
-
insurance, life and disability insurance, and retirement program options. The initial appointment will be for two years with the possibility of renewal for another two years assuming satisfactory performance
-
analysis and familiarity with R, python or another programming language Experience in molecular biology techniques including immunohistochemistry, qPCR, cell culture, ELISAs Software experience including
-
the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a highly motivated and enthusiastic
-
(Europe/Warsaw) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
-
Qualifications Ph.D. in Genetics, Computational Biology, Bioinformatics, Agronomy, Horticulture, or related field in genome analyses Demonstrated experience in population genetics using genome-wide SNP datasets
-
. Proficiency in statistical software and epidemiological modeling Excellent written and verbal communication skills and the ability to work in a collaborative team with different research groups to complete
-
or outside the University of Minnesota. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine