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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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phenotypes and their mechanical, structural, and molecular interactions within the tumor microenvironment. Qualifications A PhD in biophysics, molecular biology, immunology, cancer biology, or a related field
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://www.imec-int.com/en/home ) (prof. C. Fleischmann). Profile You hold a PhD in computer science, physics, mathematics or engineering (or you will have obtained it by the time you start work). You have
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Overview The VIB-KU Leuven Center for Brain & Disease Research is part of the VIB Life Sciences Institute and is embedded within the KU Leuven, which ranks among the world’s top 50 universities
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"Multi-modal analysis of nucleic acids from liquid biopsies for cancer monitoring” Description The Translational Onco-genomics and Bio-Informatics lab (TOBI-lab; tobi.ugent.be) at the VIB-UGent is
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collaborations. Eligibility criteria A PhD degree (or one that will be obtained within the next year) in Biology, Biochemistry, Bio-Engineering, Biomedical Sciences or equivalent. Experience with molecular biology
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set a course for the future – a future that you can help to shape. The Faculty of Pharmaceutical, Biomedical and Veterinary Sciences is looking for a full-time (100%) Post-doctoral researcher in
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PhD is within relevant area for the MINDFUL project (neurodegenerative diseases, organoid technology using guided and unguided differentiation, experience with microglia, AD and MS). You should be also
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collaborative projects within the lab and across the VIB community, contributing to lab meetings, journal clubs, and collaborative publications. Requirements PhD in immunology, neuroscience, neuroimmunology
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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