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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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. The names and contact details of 2-3 referees. For more information, please contact Dr. Sibylle Vonesch (sibylle.vonesch@kuleuven.be ) (only clarifications or further details regarding the vacancy
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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
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detailed CV, including a list of publications, a motivation letter, and the contact information of three referees. For more information, please contact Pierre Vanderhaeghen (pierre.vanderhaeghen@kuleuven.be ).
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: motivation letter describing your previous research experience your CV contact information of at least 2 references For further information and questions, please email Esther Klingler (Esther.Klingler@vib.be).
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) should contain the following documents: motivation letter full CV list of publications contact details of 3 referees For more information: Please contact us (https://fendtlab.sites.vib.be/... ) or follow
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computing clusters and analysis of transcriptomics and genomics datasets. Desirable Requirements Experience in single-cell and spatial OMICS data analysis. Development of ShinyApps and