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a postdoc, your career aspirations, your experiences in phytoplankton genetics, and a description of your previous research Your CV Contact information of at least 2 references Please submit
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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to develop new carbon capture technologies. We are seeking a motivated postdoc to identify biochemical activities in phytoplankton that convert intracellular metabolites into stable, degradation-resistant
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Integration of phenotypic data with omics analysis Explore machine learning and network analysis methods Profile Essential A PhD in Bioinformatics, Computational Biology, Evolutionary Biology
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interested in pushing the boundaries of this emerging research field by zooming in on protein modifications as well. Background information The stomatal lineage represents an ideal model system due
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experience from PhD and/or postdoc research in plant or microbial metabolism, metabolomics, and/or synthetic biology is an asset, as well as a publication record in peer-reviewed journals showing expertise in
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will focus on the development, optimization and application of multi-modal analysis strategies and pipelines for sequencing data generated on nucleic acids isolated from biofluids (genomics, epigenomics
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and/or comparable expertise (e.g from industry). Demonstrated expertise in omics data analysis, for example with (meta)genomics, transcriptomics, proteomics, metabolomics, single cell and/or genotyping
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experiences and future goals a detailed CV including publication list contact information of 2-3 references The first review of applications will start immediately. A shortlist of applicants will be selected
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spectral flow cytometry and microscopy (FELASA certificate required). Experience with -omic approaches and computational tools for data analysis is desirable. Solid publication record in peer-reviewed