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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 benefit from 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
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background in molecular medicine or immunology. Experience with flow cytometry and animal models is a prerequisite, while basic understanding of extracellular vesicles will be an advantage. Research
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research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU National Food
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genetic reconstruction. Experience with working and handling non-model bacterial expression organisms, including thermophilic bacteria. We offer DTU is a leading technical university globally recognized
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background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted
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, scipy, scikit-learn, pytorch, pytorch geometric, etc.). Proficiency in statistics and graph machine learning, including the ability to build and deploy models, and evaluate their performance. Software
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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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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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the context of an advanced electric actuator. The candidate will evaluate existing research and commercial solutions, propose new methods, and potentially develop domain-specific models and toolkits to address