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during the project period in courses at DTU. Candidates should have a two-year master's degree and as a formal qualification, you must hold a PhD degree (or equivalent) preferably culturing basidiomycetes
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and biological modelling, to biopharma technologies. The department has a scientific staff of about 210 persons, 130 PhD students and a technical/administrative support staff of about 160 persons
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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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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to collaborate with fellow researchers, fostering a collaborative and innovative research culture. The ideal candidate has the following skills: PhD in computational biology, bioinformatics, computer science
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, consisting of (a) remanufacturing processes, (b) take-back systems, (c) design for disassembly and circularity, (d) business models, and (e) sustainability and circularity assessment. The project will analyse
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the other “MathCrete” postdoc at DTU Construct . Publish results as journal articles and disseminate at scientific conferences. Possibility to co-supervise PhD/MSc/BSc students and contribute to teaching