Sort by
Refine Your Search
-
. Collaboration with and supervision of bioinformatics Master’s and PhD students will support the integration of circuit and behavioral data with transcriptomic and proteomic datasets generated within the project
-
. Collaboration with and supervision of bioinformatics Master’s and PhD students will support the integration of circuit and behavioral data with transcriptomic and proteomic datasets generated within the project
-
- Plant Biotechnology and Bioinformatics → AAP temporary appointment - 100% → Number of openings: 1 → Reference number: 202601/WE09/DA/002 ABOUT GHENT UNIVERSITY Ghent University is a world of its own
-
center for research on protein aggregation in human disease. We are an interdisciplinary team of ~25 researchers with expertise spanning bioinformatics, biophysics, and cell biology. SWITCH hosts a unique
-
biology, bioinformatics, genomics, statistics, physics, or a related quantitative field Demonstrated ability to analyse large-scale sequencing data using R, Python or equivalent A self-motivated team player
-
datasets Use cutting-edge bioinformatics software and methods, or develop novel tools when appropriate Design and lead your research project, with sufficient guidance and mentoring. Contribute to mentoring
-
knockout mouse and hamster models is an advantage.•Familiarity with data analysis, bioinformatics, and modeling for transcriptomics and immunoprofiling is an advantage.•Knowledge of BSL3 laboratory
-
a strong foundation in bioinformatics are highly valued. Exceptional communication skills in English, both written and oral, are essential. Candidates displaying a keen interest in plant cell biology
-
our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. These include cross-sectional and longitudinal cohorts, time-series intervention
-
. Beyond our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. These include cross-sectional and longitudinal cohorts, time-series