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) for a Data-Driven Energy Transition (D2ET). This initiative aims at supportingLuxembourg's energy transition through a nation-wide digital platform, built together with public and private stakeholders in
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, Impresso - Media Monitoring of the Past (https://impresso-project.ch/ ) is an interdisciplinary research project that uses machine learning to pursue a paradigm shift in the processing, semantic enrichment
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innovative services and products which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling
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for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210
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complex technical equipment (including pulsed lasers; spatial light modulators, digital micromirror devices, deformable mirrors) and preferably possess advanced computer skills for programming hardware
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on explainability of observed subjective car handling and evaluation by test drivers and finally implementing a prototype of a driver digital twin that can be tuned to simulate human drivers. You will work alongside
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buildings to identify: An appropriate pseudo biological modelling for paradigm for buildings (a standard building model) The growth stages of a building (including the integration of the different building
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changes of the next decade, we need to redesign our food system, using new food sources or adopting more sustainable processes and novel digital approaches. We are looking for a creative, competent and
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described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed