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and quantum technologies, new nanostructured materials, sensing, imaging and clean energy. The group adopts an interdisciplinary approach to provide leading-edge research in optical, mechanical and
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solar (thermal and PV) and geothermal energy with soil-based thermal storage to enable reliable 24/7 operation of adsorption desalination. We also develop low-cost sorption composites from locally
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materials-based heterostructures , where the 2D nanosheets will act as transducers for electrical sensing applications. This will generate a knowledge-based platform to allow us to rationally engineer 2D
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in culturing cells in multi-well plates, transfections and/or high content image analysis would be highly desirable. The postholder should also have a sound knowledge of laboratory safety and H&S
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to reconstruct subsurface defects; Implement image/signal‑processing or machine‑learning pipelines for automated flaw characterisation; Collaborate with the Federal University of Rio de Janeiro, including short
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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nanomaterials to address modern challenges in photonic and quantum technologies, new nanostructured materials, sensing, imaging and clean energy. The group adopts an interdisciplinary approach to provide leading
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cancer, using advanced imaging and data analysis. In this role, you will: Develop and apply AI tools to analyse eye images Work with hospitals across the UK to collect and study patient data Help create
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of Cambridge, UK (http://www.abg.psychol.cam.ac.uk ). The position will focus on neuroimaging and neurocomputational studies of learning and brain plasticity. Our studies combine ultra-high field brain imaging
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Full time (35hrs per week) Fixed term (18 months) The opportunity: A postdoctoral research position is available within the CIRCBIONET (Circular Bioeconomy through Engineering Biology Network