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rainfall–runoff models, such as HEC-HMS and the National Water Model, to support more reliable flood frequency analysis and improve flash flood predictions in small watersheds. Under the guidance of a mentor
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structures, molecular networks, and disease-resistance phenotypes. Artificial intelligence (AI), machine learning, and bioinformatics will connect genotypes with phenotypes and identify maize and fungal genes
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The University is committed to enabling all our colleagues to achieve their full potential. Durham University's Career Development Fellowships are fixed term positions, which include structured
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different ways, such as conductive concrete, structural batteries, supercapacitor, smart device like energy harvester, sensor, etc.); Conduct testing of all relevant aspects of advanced concrete material
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Localization and Perception System based on Multi-sensor Fusion Job Description: Responsible for development of robust and reliable sensor fusion algorithms for localization and navigation algorithms of robot in
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in Soil. Why Join Us? This is an opportunity to contribute to a pioneering research programme that combines carbon capture, circular economy, sustainable construction materials, and geotechnical
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frameworks), in alignment with IDMxS institutional policies and shared service structures. Identify opportunities to enhance laboratory workflows and operational efficiency, and implement improvements in
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, with the objective of contributing to the technological and economic advancement of Singapore and beyond. The position will be hosted in the Digital Intelligence for Structures and Construction (DISC
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, or particle sizing software. Experience of designing, developing or refining experimental methodologies to generate reliable and reproducible data. Ability to maintain detailed and accurate laboratory records
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molecular dynamics simulations to model structural, thermodynamic, and electronic properties. - Contribute to open-source software, benchmarks, and datasets that advance the global materials community