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neuroscience. Within this framework, AI models are co-developed with domain experts to unlock concrete biological questions and accelerate their translation to clinic. The large and interdisciplinary research
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) project, an interdisciplinary and multi-institutional collaboration focused on disturbance-driven ecosystem transitions and their impacts across the U.S. Gulf Coast. EGRET employs an integrated model
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Uganda. Building and extending a decision-analytic (Markov) model to estimate the cost-effectiveness of telemedicine with self-monitoring and community medication delivery, relative to standard care, from
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Ling Yap Dr Md Mijanur Rahman Key skills and experience required: A PhD in Biostatistics, Epidemiology, Data Science, or related discipline and/or relevant work experience Have contributed to competitive
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characterisation, and computational modelling to enable structure-driven materials discovery, targeting systems with unconventional atomic arrangements and emergent properties, and is inspired by the recent
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characterisation, and computational modelling to enable structure-driven materials discovery, targeting systems with unconventional atomic arrangements and emergent properties, and is inspired by the recent
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the CARNOT HyLBM project, which aims to develop advanced numerical models for hydrogen storage in nanostructured metal hydride reactors. The researcher will contribute to the development of advanced
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meetings, contribute to grant applications, and build an independent research career in cancer immunology and neuro-oncology. Minimum Requirements PhD, MD, MD/PhD, or equivalent doctoral degree in immunology
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Responsibilities Theory Quantum transport modeling using NEGF; first-principles materials and interface calculations using DFT (VASP, Quantum ESPRESSO, or equivalent). Atomistic spin dynamics
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of computational biology, protein language models, structural biology, and immunology. 🎯 Main Missions Build and curate large-scale antigen sequence datasets for training and fine-tuning protein language models