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Field
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100%, Zurich, fixed-term The research group for Chemical Biology and Molecular Imaging (Frei Research Group ) at ETH Zurich is looking for a doctoral researcher to develop chemistry inspired tools
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
. Our focus areas include drug delivery, cell mimicry, and tissue engineering. Learn more about our work: www.healthtech.dtu.dk/3bs . About the project: Artificial red blood cells Blood transfusions
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Health Tech. The group works across materials science, organic/polymer chemistry, and molecular and cell biology. Our focus areas include drug delivery, cell mimicry, and tissue engineering. Learn more
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Engineering (DTU Sustain), we are seeking a highly motivated PhD student to advance our understanding of using smart materials for sustainable built environment control. In this interdisciplinary project funded
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and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image
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internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
waveguides and fibres Digital signal processing Design and analysis of photonic systems. Applicants must have a Bachelor/Masters degree (or equivalent) in electrical/electronic engineering, nano
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to process and understand large experimental datasets (e.g., image processing) #analyzing experimental results; developing conceptual models and parameterizations #scientific publication and presentation
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) classification and utilization based on advanced AI technologies, such as regenerative AI, image processing and reinforcement learning, that can improve the energy efficiency and reduce the operating cost and
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of the most resource-intensive processes in this sector is the cleaning of processing equipment, which accounts for around 30% of a site's water and energy use. Cleaning is typically done using automated Clean