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team working at the interface between chemical engineering, data science, and semantic web technologies. The work will be tightly integrated with other digitalization activities at DTU KT
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advanced AI algorithms to optimize and understand the optical properties of light-trapping surfaces. (more information can be found in the following News post ). You will work closely with colleagues both
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optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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. Responsibilities: Conduct research in compilation, optimization, and analysis for time-predictable computer architecture. Co-supervise MSc and PhD students. Contribute to teaching and research proposal preparation
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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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printed hydrogel microfluidics and stem cell-derived liver organoids to advance the engineering of mature human liver tissue in vitro. You will work across disciplines, with access to world-class facilities
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maintenance. This work supports SDU Digital and High-Frequency Electronics’ internationally recognized leadership in advanced robotic technologies for infrastructure inspection and maintenance. Special