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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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Postdoctoral position in Bioinformatics and Computational Biology at the Breast Cancer Translational Research Laboratory (BCTL) (Faculty of Medicine, Université Libre de Bruxelles, Brussels, Belgium
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PhD in Biology, Bioinformatics, Computational Biology, Biochemistry, Synthetic Biology, Bioengineering, Biotechnology or other relevant topic for the projects described above. A successful candidate
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our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. Furthermore, the lab also hosts state-of-the-art facilities dedicated
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should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer Science
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should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer Science
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interest in neurobiology and/or evolutionary biology, with a strong background in bioinformatics. PhD in Bioinformatics, Engineering, Computer Science, Physics, Bio-engineering, or Life Sciences
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collaborations and access to centralized facilities with expertise in genomics, functional genomics and cell biology, cutting-edge microscopy, flow cytometry, technology development, and bioinformatics. VIB
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starting PhD student on the same project. The project will require a diverse set of skills in live microscopy, organoids and bioinformatics. We are looking for a talented and strongly motivated postdoctoral
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Degree PhD in Biochemistry, Biotechnology, Biomedical Sciences, Biomedical Engineering, Bioscience Engineering, Biophotonics, Bioinformatics or equivalent Occupancy rate 100% Vacancy type Research staff