Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
and Signal Analysis (CMVS) at the Faculty of Information Technology and Electrical Engineering, University of Oulu. CMVS is a creative, open, and internationally attractive research unit, combining the
-
(epi)genomics and environmental adaptation. At least some prior experience in the processing and analysis of genomic data will be highly beneficial. The successful candidate will be affiliated with
-
), including both laboratory methods and data analysis pipelines, will be considered an asset. Knowledge in bioinformatics/data analysis, and ability to handle complex datasets, will be considered an asset
-
systematic reviews, meta-analysis, or other integrative approaches strong quantitative skills, including handling and analysis of large datasets experience with programming languages for scientific computing
-
resolve these questions, due to their proven ability to show plasticity in many traits. About you You have a PhD degree. You have experience with bioinformatic analysis, behavioral and/or experimental
-
behavioral and neurophysiological data, coordination of the studies at different stages, data analysis, and reporting the research findings. You will be part of a multidisciplinary research group supporting
-
decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic resistance and microbiomes, statistical analysis
-
. Expertise in single-cell RNA sequencing (scRNA-seq), including both laboratory methods and data analysis pipelines, will be considered an asset. Knowledge in bioinformatics/data analysis, and ability
-
coordinated analysis of long-term ecological data to understand the drivers and consequences of global change on biodiversity. To unravel how populations, interactions between species in natural communities and
-
candidates can start as soon as possible and ideally by early 2026. The overreaching aim of REC is to generate a coordinated analysis of long-term ecological data to understand the drivers and consequences