10 parallel-programming-"SciLifeLab-"-"SciLifeLab-" Postdoctoral positions at UNIVERSITY OF HELSINKI in Finland
Sort by
Refine Your Search
-
Deadline 20 May 2026 - 00:00 (UTC) Country Finland Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
-
publications with key publications relevant to the position highlighted Research plan including timetable and publication plan, and a brief vision for career development (Max 4 pages) Guidelines for the CV and
-
) Application Deadline 10 Apr 2026 - 00:00 (UTC) Country Finland Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
expected to actively contribute to teaching in the master’s program in social sciences, or thesis supervision and other research activities of the Institute. QUALIFICATIONS The appointee to the position must
-
with the Data Room projects, participating in their preparation either directly or by providing methodological or programming support. The researcher is also expected to participate in teaching
-
) Application Deadline 28 Feb 2026 - 00:00 (UTC) Country Finland Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
evolutionary cell biology. Our ERC-funded project uses pigment cells in tropical cichlid fishes as a powerful model to uncover how complex cellular phenotypes and developmental programs evolve. We integrate
-
and museomics Strong bioinformatics skills Proficiency in command-line scripting and programming Knowledge of phylogenomics and population genetics Why conduct a postdoctoral project at the University
-
Environmental Sciences comprises roughly 40 research groups which employ 40 principal investigators and 120 researchers. The research programme is situated in the Viikki science park. https://www.helsinki.fi/en
-
have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large volumes of data and high-performance computing is