149 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Denmark in Denmark
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multi-disciplinary team and will be responsible for data collection and handling in relation to human health impact assessments and participate in all phases of an intervention study among Danish school
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data We are looking for a candidate with a structured working style and the ability to multitask with attention to detail. You must have a positive mindset and willingness to take on both routine and
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, high-throughput screening, and state-of-the-art carbohydrate analysis, to validate computational designs and generate data that advances our knowledge of enzymatic carbohydrate synthesis towards
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requirements using pilot-scale or simulation data Publish high-impact research results and present findings at international conferences Contribute to proposal writing and joint projects with academic and
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certificates. If you would like additional information about the position, please contact Head of Section Charlotte Scheutz, chas@dtu.dk . More information about the department can be found
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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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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally
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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