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biology platforms for the sustainable production of high-value plant metabolites and 2) increased crop productivity by improvement of plant fitness in a changing environment. The research of the De Mey lab
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that date. You will do most of your work at Campus Mutsaard in a dynamic and stimulating working environment. Find out more about working at the University of Antwerp here . Want to apply? You can apply for
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the lab environment and mentoring younger students. The postdoc will also gain the advantage of participating interdisciplinary collaborations, and should be eager about this, as it can broaden their
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for commuting. You will do most of your work at the CLiPS research group on the City Campus in a dynamic and stimulating working environment. Find out more about working at the University of Antwerp here . Want
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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or a full reimbursement of public transport costs for commuting. You will do most of your work at the city campus in a dynamic and stimulating working environment. Find out more about working at
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allowance and a bicycle allowance or a full reimbursement of public transport costs for commuting. You will do most of your work at City Campus in a dynamic and stimulating working environment. Find out more
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to the wealth of information on both development and the dynamic changes due to environmental conditions; and the availability of many stage-specific marker lines and scRNA-seq data. There is however great
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term of 1 year, which may be extended by 1 year; Participation in an exciting and rapidly evolving new research area within a multidisciplinary environment; Become a member of a young, dynamic, and
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
, or related fields Strong programming skills in Python, R, and experience with Linux environments Demonstrated experience in processing and analyzing large-scale genomic and transcriptomic datasets