-
bioinformatics, to join our team in Leuven. A successful candidate: Has a master’s degree in Bioinformatics and affinity with Computer Science, Bio-engineering and Life Sciences Has a PhD and experience with
-
, biology, chemistry, engineering or a related field Should be creative, enthusiastic, critically thinking, and motivated Ready to work against stringent deadlines Enjoys teamwork and has excellent oral and
-
critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational electrophysiology to translational models
-
brain xenotransplantation, mouse transgenesis, in vivo mouse brain imaging, and ex vivo human brain recordings. See more in selected references from the lab: Libé-Philippot et at al. Cell (2023) 186(26
-
interest in neurobiology and/or evolutionary biology, with a strong background in bioinformatics. PhD in Bioinformatics, Engineering, Computer Science, Physics, Bio-engineering, or Life Sciences
-
-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based
-
disease. Key responsibilities Lead and conduct the processing and statistical analysis of large-scale long-read RNA and DNA sequencing, single nuclei RNA sequencing and spatial transcriptomics
-
, transcriptomics, proteomics, metabolomics, single cell and/or genotyping data. Microbiology techniques is a plus but not required. Experience in molecular biology techniques for processing and analysis of DNA and
-
. Researchers eligible for an FWO or MSCA fellowship are encouraged to apply. Key Responsibilities Lead and conduct the processing and statistical analysis of large-scale short- and long-read sequencing