Sort by
Refine Your Search
-
seek candidates with strong skills in programming (e.g. R or Python), statistics, machine learning, and data science. A good publication record with respect to your career stage and research interests in
-
skills in quantitative data collection, management, and statistical analysis Excellent coding and programming skills (e.g., Python, R, Stata) Strong interest in research in the fields of sustainability
-
Switzerland Application Deadline 31 Oct 2025 - 23:59 (Europe/Zurich) Type of Contract To be defined Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU programme Is the
-
independent research interests. Your profile Required: PhD in Marketing/Business/Analytics (or a related field); strong statistical background; proficiency in Python; fluent English. Preferred: experience with
-
conferences. Enjoy protected research time to pursue independent research interests. Required: PhD in Marketing/Business/Analytics (or a related field); strong statistical background; proficiency in Python
-
assessments (e-DNA metabarcoding), bioinformatics and multivariate statistical analyses, and/or experimental planning. Furthermore, we expect very good knowledge in R programming, a good command of English, as
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in Tree Physiology and Forest Acclimation to a Changing
-
programming and statistical knowledge, including machine learning A strong academic record Excellent communication skills with a good command of the English language Beneficial skills for this position include
-
PhD degree in Biology or Environmental Sciences and have a strong background in multivariate statistical analyses, chemical ecology, plant-herbivore interactions and experimental planning. Furthermore
-
), and HPC schedulers. Profile The ideal candidate will have at least a PhD or equivalent in Bioinformatics, Computational Biology, Computer Science, Applied Statistics or a related field. The candidate