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and the IT support team. What we are looking for You hold a PhD in bioinformatics (ideally obtained after the 1st of Oct 2022). You are an experienced user of Python, R and Nextflow. You have experience
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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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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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. Profile You hold a PhD in biomedical sciences, biotechnologies or related disciplines. You have spent at least 12 months of the three years prior to the start date as a postdoctoral scholarship holder
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the context of neurodevelopment and neuroinflammation. Profile You hold a PhD in biomedical sciences, biotechnologies or related disciplines. You have spent at least 12 months of the three years prior
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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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. Profile You hold a PhD in biomedical sciences, biotechnologies or related disciplines. You have spent at least 12 months of the three years prior to the start date as a postdoctoral scholarship holder
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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