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twins together with two PhD students, especially to propose new models and algorithms for complex maneuvers, and building a parametric autonomous model of drivers reproducing a close to reality human
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models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse the experimental data. Your focus would be to investigate the effect
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diseases, including genetics, epidemiology, immunology and epigenetics, with excellent clinical cohorts and experimental models. The Applied Immunology & Immunotherapy group is physically located
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Lonza’s expertise and technology within peptide T cell immunogenicity, and the vast expertise within immunoinformatics and machine learning models at DTU to address this challenge. This will enable
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will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that preserve auditory system homeostasis
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tools to analyse and study microglia phenotype, function and dysfunction. If you are up for a technological challenge to address key biological questions, this project could be a perfect fit for you
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The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our
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postdoc program. Required are scientific quality and originality, as well as a collaborative and interdisciplinary mindset. Potential Projects We are open to ideas that fit into the broader scope and