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Field
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Architecture , Engineering & Technology , Arts & Humanities , Mechanical & Aerospace Engineering Job Type Academic Posts , Research Fellowships , Research Related , Other Research Related Contract Type Fixed
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in the open-source computational fluid dynamics (CFD) code PDRFOAM. The work will be conducted in collaboration with other research projects on hydrogen safety at the department. The position offers a
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, mechanistic simulations, and predictive AI models. Your work will help unlock new insights into disease mechanisms and inform potential treatments, diagnostics, and drug repurposing opportunities. Your role You
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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biochemical methods, alongside computational approaches, this work will map exposure-metabolism-protein networks to understand fundamental mechanisms underlying the transition from healthy aging to
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, mechanical engineering, or related subject with a record of publishing in high-quality journals. Good skills in applied Computational Fluid Dynamics (CFD) methods and proven experience of leading research
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(PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires that such institutions
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at off-design conditions like descent. The post will develop computational models and tools to assess cruise and off-design performance, improving understanding and design of integrated engine-airframe
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underpinned by similar genetic mechanisms in distantly related plant species. The candidate will compare population-level genomic data from different Arctic taxa, conduct controlled common garden experiments
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project that aims to map the resistome and clarify the mechanisms of multidrug resistance across diverse microbiomes—comprising clinical, environmental, and host-associated microbial communities