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sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong computational and analytical skills, as
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the development of novel and innovative numerical techniques aiming at improving the integration between numerical simulations and geometric modelling and processing. Within the project «FLASh: Fast simulation
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processing strategies that can enable the fabrication of a wide variety of advanced functional materials and devices. We are seeking a candidate with experience either in a) the development of (macro)monomers
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pollutants, with particular interest in ultrafine particles and indoor aerosols; Concentrations, dynamics, and transformations of indoor pollutants, including physical and chemical processes occurring after
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, including physical and chemical processes occurring after emission; Human inhalation exposure to indoor air pollutants and factors influencing exposure; Experimental characterization of indoor aerosols and
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of future urban scenarios? The postdoctoral researcher will develop an integrated analytical framework connecting: Verticalisation → 3D urban morphology → environmental processes → climate and flood impacts
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efforts (natural products, AI-enabled molecular design) to feed prioritized targets and hits back into upstream design Apply the pipeline to screens in both standard culture and, in collaboration with other
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the process itself shapes disease states at cellular and molecular scales. By combining AI innovation with RNA-focused, context-aware biology, SATURNA seeks to establish actionable principles of disease
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position starting between 2026 fall and 2027 spring , we are seeking a candidate with experience in microfluidics, microfabrication, stimulus-responsive hydrogels, ultrasonics and acoustic metamaterials
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processes . Each postdoc will lead their own independent research direction, with an opportunity for close collaborative work. Main duties and responsibilities You will develop an acquisition and