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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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step(s) in the selection procedure. Please note the following dates in your calendar: Wednesday 3 September 2025 (selection interviews). For more information about the initial research proposal, see
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of created wetlands across the whole Schelde river basin. You will work on field sampling, lab analysis, data processing, the writing of scientific publications, and preparation of a PhD thesis, with the final
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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 applications before June 5
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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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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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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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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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the following documents: A motivation letter describing your previous research experience Your CV Contact information of at least 2 references For further information and questions, please email Joris de Wit
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Excellent communication skills in English Desirable but not required Skills in phytoplankton genetic engineering Hands-on experience with high resolution mass spectrometers and/or data analysis Programming