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also opens new avenues for the design of climate-resilient crops. You will apply AI strategies to learn the regulatory syntax encoded by the Arabidopsis genome using single-cell transcript data as
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their impact on bladder function under physiological and pathological conditions. Work will include data acquisition, analysis, and interpretation, as well as collaboration with clinicians for human
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for the design of synthetic promoters and data analysis. PhD in (Plant) Biotechnology, Molecular Biology, Biochemistry or equivalent A publication record in peer-reviewed journals, and excellent proficiency in
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summary of past research activities (particularly in your PhD project) • a letter describing your fascination for the topic and the Goossens/De Mey labs • the contact information of two referees The first
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most prominent universities, consistently ranked in the top 50 worldwide. Leuven is located 10 miles from Brussels, with frequent direct train connections to Brussels airport. Profile PhD in a
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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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your previous metabolomics and wet lab experience, and the biological questions you addressed in your PhD. Your CV Contact information of at least 2 references Interviews will begin at the end of May
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subteam, working closely with an experienced lab technician, two dedicated PhD students, and two postdoctoral researchers on a project focused on in vitro screening methods, including the use of organoids
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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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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