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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 are supported by
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs
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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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. 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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or pedagogical qualifications. Reference letters and/or contact information for references. Link to GitHub. Any other documentation highlighting relevant qualifications for the position. UPLOAD GUIDE: Motivated
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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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candidate with strong methodological skills within coastal experimental laboratory work. You need to be able to work independently in the lab and take decisions on experimental setup and data treatment in
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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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tissues and explore potential links with genetics and macromorphological characteristics. To this end, we will employ collection and analysis of tomographic data using state of the art synchrotron 3D