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Field
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computing. Current challenges in quantum technology adoption stem from the lack of standardized benchmarking methods and the inherent difficulty in validating quantum devices beyond classical simulation
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by Law no. 7/2009, of February 12, in its current wording; the Decree-Law no. 57/2016, of August 29, amended by Law no. 57/2017, of July 19, approving a system for hiring doctoral graduates
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or more of the current ecological crises (e.g., climate, pollution, biodiversity) from a broadly social cognition angle. Desirable research frameworks to explore these topics include cognition and emotion
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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plasma p24 levels in ultra-low concentrations. This project will combine advanced immunological assays (e.g., flow cytometry, AIM assay, cytokine profiling), viral outgrowth assays, HIV integration site
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, and labor shortages. Currently, most animal monitoring and inspections are performed visually by humans, which is time-consuming and error-prone. Computer vision, leveraging recent advances in deep
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powerful, modern analytical techniques including chemical proteomics and metabolomics. They will have access to advanced synthesis facilities, as well as biological models, such as macrophages and organoids
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: this provides capability for accurate and fast modelling of urban drainage, handling the full complexity of flow paths on impermeable surfaces, green space, buildings, pipe networks and BGI features
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Vacancies PhD position on the design and fabrication of MEMS drag force-based flow and fluid composition sensors Key takeaways In this project, we will combine well-known thermal flow sensing
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will be trained in a variety of powerful, modern analytical techniques including chemical proteomics and metabolomics. They will have access to advanced synthesis facilities, as well as biological models