136 augmented-workers-using-smart-robats-in-manufacturing-cell PhD positions in Belgium
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concretely your work package, for the preparation of a doctorate, contains: Are you a bioinformatician interested in how genetic differences influence cell development? Join us as a PhD candidate at the
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, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
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, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
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. We offer an innovative academic education to more than 20000 students, conduct pioneering scientific research and play an important service-providing role in society. We are one of the largest, most
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budget . Link to the VLAIO portal: For submission of the application the online platform from VLAIO has to be used. One of the partners creates a new application using the pink button on the VLAIO website
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pluripotent stem cells to elucidate the pathogenicity of peripheral neuropathies. Your role will be to investigate the impact of novel therapeutics in the cell models. For this you will apply stem cell and
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of the interaction between textile materials (yarns and fabrics) and textile manufacturing machines (looms, bobbinfeeders, ...) under dynamic conditions. Such simulations are very challenging due to the use of diverse
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pluripotent stem cells to elucidate the pathogenicity of peripheral neuropathies. Your role will be to investigate the impact of novel therapeutics in the cell models. For this you will apply stem cell and
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genetics, cell biology, genomics, and bio-computing to unravel plant biological processes and to further translate this knowledge into value for society. Please visit us at www.psb.ugent.be for more
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operational employment. This doctoral research will thus leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modelling systems as graphs