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employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Head of Section, Professor Peter Vang Hendriksen (pvhe@dtu.dk
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main workplace will be at DTU Lyngby Campus. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Niels B. Larsen at nibl@dtu.dk . You
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. The period of employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Mayank Jain, maja@dtu.dk , +45 4677 4909
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successful candidate will have previous experience in computer science or data science, with a PhD and publications in at least one of the following areas: Formal modelling and verification of business
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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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about career paths at DTU here . Further information Further information may be obtained from Professor Yifeng Zhang (yifz@dtu.dk), and the section head Wenjing (Angela) Zhang (wenz@dtu.dk). You can read
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file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Letters of recommendation or alternatively contact information to references
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. Further information Further information may be obtained from Professor Christian Niordson,, tel. +45 4525 4287. You can read more about Department of Civil and Mechanical Engineering at www.construct.dtu.dk
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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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, 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