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, this project aims to uncover long-term, experiential factors affecting change resistance. The findings will provide actionable insights for organizations to design tailored change management and career
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the framework of this project, the Van Damme lab is interested in how the interplay between the various secretory carrier membrane proteins (SCAMPs) and the various types of plasma membrane intrinsic proteins
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-generation combinatorial editing tools and applying them to study genetic interactions. As all our projects integrate high-throughput experiments with computational analyses we are particularly interested in
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harnessed for further engineering. The ideal candidate has led a molecular-level scientific research project and has technical expertise in CRISPR, gene transformation, or other genetic tools applied to one
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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-generation combinatorial editing tools and applying them to study genetic interactions. As all our projects integrate high-throughput experiments with computational analyses we are particularly interested in
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candidate(s) with the best profile (project proposal & CV) acquire a preparatory post-doctoral research mandate to further develop and submit a competitive research proposal to FWO (Flemish Science Foundation
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experiments for data generation within this project. You will co-supervise graduate and Ph.D. students who work on the research project. More generally, you will co-supervise and co-support the bio-informatic
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are seeking a motivated and enthusiastic colleague with strong computational skills in the analyses of complex data sets to join our teams. About the project We have generated advanced brain on chip models
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are seeking a motivated and enthusiastic colleague with strong computational skills in the analyses of complex data sets to join our teams. About the project We have generated advanced brain on chip models