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materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using
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’ conditions (https://doi.org/10.1007/s10681-024-03300-x ) as a tool to enable future breeding programmes in these species to improve resistance to disease and environmental stress. Main Duties Undertake
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, or generative AI related to materials. The successful candidate will independently lead a project focused on developing generative AI models to establish structure-property relationships for materials discovery
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Materials, Biomaterials, Energy Materials, Semiconductor Materials, Nanomaterials, and Computational Modeling of Materials. Expertise in experimental synthesis and characterisation or advanced computational
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Posted by Kate Stuart on Wednesday, March 18, 2026 in Job Opportunities . Recent studies from the lab (https://cruchagalab.wustl.edu/ ) have demonstrated that circular RNAs
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Posted by Kate Stuart on Wednesday, March 18, 2026 in Job Opportunities . The Cruchaga lab (https://cruchagalab.wustl.edu/ ) at Washington University School of Medicine has a
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‑electron tomography (cryo‑ET) to study in situ amyloid deposition and amyloid–cell interactions in experimental models and human tissues. This project is part of the BE.Amycon VIB Grand Challenges initiative
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at various points in a subcritical model reactor operating at near-zero power and driven by an external high-intensity, high-reliability neutron source; 2) Extending the previous results to a power ADS loaded
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multidisciplinary teams (bioprocess engineering, omics analysis, modelling). Supervise and support PhD students and laboratory technicians. Where to apply Website https://eurecat.talentclue.com/en/node/123629429
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to sectors such as Geographic Information Systems (GIS), mobility management, the Internet of Things (IoT), and industrial sensorization. Tasks will include: Definition of reusable models and components