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classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high-throughput, automated analysis of large image datasets from fluorescence
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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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Prof. Guillaume Berionni (guillaume.berionni [@]unamur.be) until April 15th, 2025. Selection process Presentation of PhD work (30 min) followed by oral interview (60 min) by two members of the chemistry
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the development of such systems Publish research results and present them at international conferences Contribute to reports and research activities in support of project management Guide PhD students
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of the corresponding genes. WHAT WE ARE LOOKING FOR Applicants should be fluent in English (both in verbal and written communication), and hold a PhD degree in biochemistry, biology, biotechnology, or bio-engineering
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syntactic complexity annotation system and accompanying software tool (see brief project description below). The top ranked candidate will acquire a 6- or 12-month (depending on the type of contract) full