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Field
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, their fabrication and characterisation in order to be translated to industry with our partners. This includes laboratory experimentation, critical evaluation and interpretation, computer-based theoretical modelling
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-compatible materials, including graphene, silicon nitride, or other functional layers for electrical transduction. • Device modelling and simulation: Model carrier transport, charge-state dynamics
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: qPCR / RT-qPCR Western blotting Flow cytometry Fluorescence Microscopy Mouse work (including immune and cardiometabolic models) Analyze and interpret genetic and genomic data, including: GWAS and
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of previously published information geological restorations and basin modelling to improve the understanding of the interplay between tectonic and sedimentary processes, particularly where salt is present
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, manipulation and adaptive gripping mechanisms, baggage handling and stacking systems, safety, and reliability systems. Develop CAD models, digital simulations, physics-based modelling, concept evaluation
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photovoltaic generation, hydrogen production, and storage alternatives with microgrid-driven power distribution. Through advanced modelling and optimization techniques, this research aims to identify optimum
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scientific leaders and researchers. We are seeking a Postdoctoral Research Fellow to contribute to collaborative projects on shape-morphing materials and applications to adaptive aeronautics. Key
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combined with first principles and multiscale simulation for the design of molecules, catalysts and materials, with applications in clean energy and decarbonisation AI for clinical and health research using
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data science, contributing to projects that leverage cutting-edge multiomic datasets to develop predictive models of therapy response and identify clinically actionable biomarkers. Located in Boston and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 13 hours ago
regulatory context. Apply NLP tools and frameworks to process, analyze, and classify qualitative consumer study responses. Evaluate NLP model performance using appropriate metrics and interpret results in