Sort by
Refine Your Search
-
Listed
-
Field
-
: Strong programming skills in R for data analysis and visualization, and proficient in Unix command line environments for data processing Single-cell omics Methods to study chromatin interactions such as Hi
-
(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
-
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
-
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
-
data has increased massively in the last decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic
-
-PCR, microscopy and computational analysis skills (such as RNAseq, sc-RNseq analysis) are considered advantageous. The applicant should have the ability to work productively both independently and as