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                Award at the University of Sheffield. We aim to develop retrieval-augmented, multi-modal, and explainable Large Language Models (LLMs) for healthcare fact-checking. Reliable healthcare information is 
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                or nats, balances model complexity against goodness-of-fit. It is essentially a formal implementation of Occam's razor. A key advantage of MML is that the message length provides a universal gauge for 
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                -wide initiative to build foundation models that simulate the evolution of tumor ecosystems. You will be the lead engineer contributing to large-scale generative modelling on single-cell, spatial-omics 
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                Posting Details Posting Detail Information Working Title Research Scientist I - Water Infrastructure Modeling Specialist Position Location Fort Collins, CO Work Location Position qualifies 
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                Advancing Human Motion Understanding through 3D Modelling and Foundation Models (S3.5-COM-ZChen) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Zhixiang 
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                engineering teams to translate kinematic models into simulation-ready components and to develop FEA-based validation and feedback loops. Oversee data acquisition, safety checks, and verification during 
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                safer, more reliable, and more transparent. It has two main goals: First, the project will create new ways to automatically test and check the code produced by language models. This includes designing 
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                Description 50%: Research and Data Analysis - Designs, conducts, and leads research projects focused on climate-smart agricultural practices integrating remote sensing, soil and crop modeling, and greenhouse 
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                . This position requires deep technical fluency in Python, SQL, machine learning, and statistical modeling, alongside the ability to translate advanced analyses into actionable institutional insights. The Director 
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                data from mobile, wearable, and environmental sensors. The successful candidate will create and deploy models that integrate machine learning, signal processing, and large language models (LLMs) to infer