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Overview This 12-month post is associated with an EPSRC grant led by Imperial College. The grant is titled “The effect of hip muscles on knee pain” and involves development of a multi-body model of
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models, including options close to full-time ( https://go.fzj.de/near-full-time ), allow you to tailor your working hours to suit your individual needs FAIR REMUNERATION: Depending on your existing
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expertise in numerical modelling. The post is available from 1st March 2026 for 12 months in the first instance and could be extended further. See http://rccs.hw.ac.uk/ for more details. Key duties and
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and resource allocation. Uses specialized knowledge and breadth of expertise to perform a variety of complex analyses. Leverages expertise in financial modeling and analysis of large data sets
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learning to automatically build models from experimental data while directly embedding physical and mathematical knowledge within the learning architecture. This hybrid approach produces more reliable models
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in vivo and in vitro systems. The PhD student will employ: A novel voluntary mouse resistance exercise model enabling physiological hypertrophy studies. CRISPR/Cas9-based multiplexed gene editing
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Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
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Offer Description Mission: Develop applied research activities in quantum networks, focused on their modeling and experimental characterization. Functions to be developed: Perform modeling and simulation
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, WebAssembly, and Istio. - Knowledge of Pero Trust platforms and federated data management. - Knowledge of OMOP and FHIR data models. - Experience with agile methodologies. - Advanced written and spoken English
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following responsibilities: Development of scalable systems for automatic knowledge extraction and learning of planning models from textual data Development of scalable systems for language-based interaction