71 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Technical University of Denmark
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materials, utilizing hyperspectral imaging data as input. We want to enable real-time prediction and assessment of the materials’ physicochemical behaviour and performance characteristics. This position is
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of BRIGTH and ensures effective development and implementation of strain design procedures in our design-build-test-learn workflow using big data and data science. The Analytics team is part of
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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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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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attach your motivated application, CV and exam certificates. If you would like additional information about the position, please contact Team Lead Innovation Partners, Mette Blaabjerg on 2748 4444
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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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, thermodynamic models, and unit operations, developed as part of research projects at both CERE and KTC. These software tools include but are not limited to the Integrated Computer Aided System (ICAS), CAPCO2
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-event data collection + feedback Assist with analyses and PowerPoint for ongoing projects. Support partner recruitment in our scaling phase (e.g., prospect research) SoMe knowledge is a plus but not a
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certificates. If you would like additional information about the position, please contact Jörg Hübner, Director, jhub@dtu.dk or 45 2278 5157. Applications received after the deadline will not be considered. All
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certificates. If you would like additional information about the position, please contact Professor Philip Loldrup Fosbøl on plf@kt.dtu.dk . Applications received after the deadline will not be considered. All