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analysis in R and with multi-level modeling WHAT WE CAN OFFER YOU We offer you a temporary appointment for a period of 2 years. The appointment cannot be renewed Even if you have already been appointed
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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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Intelligence. You have a demonstrable interest in research into the use of Large Language Models to support GDPR-compliant Requirements Engineering. You have experience in supervising students in academic and/or
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training data. You will unravel the cis-regulatory code controlling context-dependent gene expression and use this information to design synthetic promoters. You will train and evaluate predictive models in
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Humanities, Sciences & Engineering Campus (Elsene) will serve as your home base.
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to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation
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trials (e.g., diet, FMT), and ex vivo gut models enabling advanced multi-omics analyses of these samples. In addition the lab also maintains a large culture collection, partially linked to genomic data
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intervention trials (e.g., diet, FMT), and ex vivo gut models enabling advanced multi-omics analyses of these samples. In addition the lab also maintains a large culture collection, partially linked to genomic
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academia and practice regarding the cost-effectiveness analysis of safety instrumented systems. You will conduct cost-effectiveness analyses by designing cost models to highlight trade-offs in
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electrophysiology to translational models, including animal studies and analyses of human tissue samples. This full-stack methodology enables us to directly link molecular channel function with disease phenotypes