Sort by
Refine Your Search
-
dynamics. Excellent knowledge of programming languages such as R, Python, Julia, etc. Demonstrated experience working with spatial epidemiological, ecological, or environmental data, including hands-on use
-
in English. Desired qualifications: Knowledge of computational methods and programming skills (e.g., R, Python). Knowledge of a Scandinavian language may be an advantage for teaching and supervision
-
communication skills in English Proficiency in programming and data analysis in the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant courses
-
, informatics, genetics, medicine, psychology, or an equivalent field. Strong programming skills in Python, R, or MATLAB, with emphasis on data analysis and method development. Solid experience in statistical
-
-on experience with molecular biology techniques, such as DNA/RNA extraction and PCR. Basic knowledge of handling sequence data from RNA-seq or other NGS-based approaches. Experience with data analysis in Python/R
-
neuroimaging data Experience with scientific programming (e.g., Python, MatLab, R or similar) Excellent written and oral communication skills in English. In addition, documented experience in one or more of the
-
biology techniques (cloning, transformation) Documented applied skills in plant cell imaging Documented training in Python and/or R Foreign completed degree (M.Sc.-level) corresponding to a minimum of four
-
programming skills in Python, R, or MATLAB, with emphasis on data analysis and method development. Solid experience in statistical analysis and data processing using relevant statistical software. Experience
-
, and diagnostics relevant to helioseismic inference. Development and maintenance of robust, reproducible analysis workflows (Python and/or Julia-based; HPC-oriented handling of large datasets). Depending
-
. Appointment is dependent on the public defense of the doctoral thesis being approved. Experience with analysis of time-series of neural data Proficiency in programming custom analysis pipelines (e.g. Python