232 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" positions at Technical University of Denmark
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Lyngby Campus, Denmark, You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Yi Sun ( suyi@dtu.dk ). You can read more about DTU
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algorithms and circuits to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration
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additional information about the position, please contact Associate Professor and Head of Research Group, Mohammadamin Mohammadifar on moamo@food.dtu.dk Applications received after the deadline will not be
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technology and characterisation. Background within image processing, computer vision, or related fields. Background within in-line process monitoring or related fields. Furthermore, it is an additional
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The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the
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for contribution to translational projects. The ideal candidate will be comfortable with both computational data analysis and experimental research. A strong background in computational data analysis of omics data
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researcher, you will work closely with an interdisciplinary team of quantum physicists, photonics engineers, and information theorists. Your key responsibilities will include: Conducting experimental research
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on the economic impacts of renewable energy based on econometric methods. The work to be undertaken is related to a project, which will draw on input-output models that are tailored to sub-national level data in
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on the interests of the candidate, they may also be involved in our ongoing developments of a digital data infrastructure for 2D materials (see 2dhub.org), which would involve high-throughput electronic structure
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will benefit from your analytical insight. Advanced NMR methods and computational data analysis will be compounded to accelerate the understanding of reaction pathways and improved use of desired rather