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Group at Nanyang Technological University (NTU) is seeking an inquisitive Research Fellow (RF) with a strong background in biophysics and statistical mechanics as well as prior experience in numerical
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. Design and implement strategies for multiplexed detection, enabling simultaneous analysis of multiple analytes from small sample volume; optimize sensor design and assay for high throughput analysis
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the start date. This position is part of the research project “Numerical Analysis of Stochastic TRANsport” (NASTRAN), funded by the Research Council of Norway. The project’s goal is to develop mathematical
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for a postdoctoral scholar to work in the research group of Prof. Tommaso Buvoli (https://tommasobuvoli.com/ ). Research topics include scientific computing, numerical analysis, and scientific machine
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simultaneous analysis of multiple analytes from small sample volume; optimize sensor design and assay for high throughput analysis. Assess and validate sensor performance with real samples; ensure data
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software. Collaborate with computational and domain scientists to integrate state-of-the-art AI with simulation and data analysis, including modern agentic approaches. Publish and present results in peer
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data analysis and numerical modeling. • Strong scientific communication skills and ability to work in a team. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7093-HERCLA-009
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. This development will build on a theoretical foundation from numerical and functional analysis, and as a starting point build on the literature related to linear operator preconditioning and nonlinear
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. The position is set to begin on February 1, 2026, although there is some flexibility in the start date. This position is part of the research project “Numerical Analysis of Stochastic TRANsport” (NASTRAN
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and Mathematical Sciences. We are seeking a Research Fellow to contribute to a project focused on Quantum magnets, magnon thermal Hall effect and numerical methods. Key Responsibilities: Responsible