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of Copenhagen and also involves partners at the McGill University (Canada) and the Department of Physics of DTU. The goal is to replace the highly inefficient current fertilization practices by a revolutionary
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The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with Lonza Cambridge, UK, are seeking a highly talented and
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with Lonza Cambridge, UK, are seeking a highly
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: Experience in the field of wave modelling or coupled wind-wave modelling Experience working with large datasets Experience with collaborative programming and GitLab Knowledge of meteorological measurements and
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simulate wind and solar forecast uncertainties on pan-European level, leveraging latest machine learning weather forecast models Apply machine learning methods to forecast day-ahead and balancing market
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Are you interested in protein O-GlcNAcylation in neuroscience and can you contribute to the development of modelling intellectual disability in Drosophila melanogaster ? Then the Daan van Aalten
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disordered proteins - and use these for mechanistic studies in cellular models. There will be considerable room for the successful candidate to shape the project within the overall project theme. Further
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% more efficient than current technologies, using 30% less raw material and energy, and nearly fully recyclable. Responsibilities and qualifications As a valued member of our team, your insights and