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, proteomics, and bioinformatics to make informed decisions on data analysis and validation experiments. Dr Francavilla’s team is funded by the Novo Nordisk Foundation and LEO Foundation and focuses
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to: Collect data through e.g. literature studies regarding the raw materials to be used Perform data analysis and interpret results from chemical and microbial analysis of the raw materials Carry out product
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in using TRNSYS or IDA ICE is an advantage). Previous research experience in statistical analysis, data-driven modelling, and machine learning for indoor environment and building applications is an
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and reduction of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts
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development Structure–function analysis of enzymes Project coordination and team collaboration Scientific writing and publication As a formal qualification, you must hold a PhD degree (or equivalent). We offer
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and technicians to solve analytical challenges and develop, optimize, validate and apply analytical methods to evaluate food safety. Key Responsibilities - Perform trace-level analysis of organic
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in the communication, analysis and execution of processes. You will be part of a team at DTU Computed supported by the Villum Synergy Fund and through the Danish Interdisciplinary Center for Digital
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-mortem and fractographic analysis Collaborating with colleagues at DTU Energy and industrial partners to improve the reliability of SOEC stacks Publishing your research results in relevant peer-reviewed
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microscopy). Experience in programming for hardware control and data analysis, e.g. using Python, is a clear advantage. We offer DTU is a leading technical university globally recognized for the excellence
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analytical chemistry and with a preference to a strong background in chemistry. Candidates with practical experience in non-target analysis and data analysis workflows, gas chromatography of very volatile