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research section comprised of over 50 members dedicated to advancing micro- and nanotechnology-based sensors, detection systems, and drug-delivery devices. If you are a highly motivated individual with
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solutions and policy impacts. You will design and implement machine-learning algorithms that interact with your simulation framework for scenario discovery, building surrogate models of simulation outputs
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transformative advancements in scientific discovery. Responsibilities As a Senior postdoc, you will be able to contribute to designing your own project focusing on implementing cutting-edge algorithms for graph
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integrate machine learning algorithms and Earth System Models to emulate carbon processes in the ocean connected to the biological activities. You will be enrolled in DTU’s Section for Oceans and Arctic and
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separate job advert “Postdoc in advanced reconstruction algorithms for time-resolved nano CT of sustainable cement ”) Research and teaching efforts at a section and departmental level as appropriate and
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portfolio projects with SMEs, where new technologies, such as electronics, sensors, and digital technologies are implemented in new products and processes concerning integration of user needs, sustainability
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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. This includes practical knowledge of soft sensors, AI and ML, and hybrid modelling approaches, expanding also towards the digitalization of education, including the development of chatbots, virtual labs, and the