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technology for bio- and chemical transformations, separations, purifications and formulation applied to pharmaceuticals manufacture; modelling of processing steps and whole processes to support innovation
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recently developed in a commercial 65 nm CMOS imaging process by a large international consortium of engineers and scientists for the ALICE ITS3 upgrade and the future experiments, ePIC@EIC and ALICE3@LHC
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aims to provide mathematical models of decontamination processes and is funded by the Defence Science and Technology Laboratory (Dstl). The approach to mathematical modelling is multifaceted, with
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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expertise in the development and deployment of radar-based technology for geophysical monitoring, and in the processing and interpreting of data from such equipment. The post will involve extended travel
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consists of several post-doctoral and PhD students with backgrounds in psychology, cognitive science, neuroscience, computer science, engineering, and physics. The focus of our research is to develop new
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design, statistical sampling and analysis of large, multi-taxa biodiversity datasets. Expertise in landscape-level biodiversity and production analyses using R, QGIS, Google Earth Engine. Extensive
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Engineering, Science and Theory (NESTiD) Scientific Computing (SciComp) Vision, Imaging and Visualisation (VIViD) We are ranked 4th in the UK in the Complete University Guide 2024. For more information, please visit our
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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ubiquitylation in cell regulation and human disease, to facilitate the development of drugs to treat diseases caused by abnormalities in phosphorylation, to generate reagents and improve technologies. A key remit