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validation. Carry out in vivo animal model work, including pathogen infection models where applicable, underapproved animal care protocols. Perform multi-color flow cytometry, ELISA, Western blotting, and
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Delivery Therapeutics. The research programme includes collaborations with leading international partners to advance next-generation RNA nanomedicines. For more details, please view: https://www3.ntu.edu.sg
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
project is develop computational models for the high-fidelity finite element (FE) analysis of the behaviour of advanced thermoplastic-based composite materials. These models will effectively link
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society. For more details, please view https://www.ntu.edu.sg/ase . We are seeking a Research Fellow to join the research team led by Nanyang Assistant Professor Feng Tao in computational ecology. The role
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Physics » Other Engineering » Materials engineering Chemistry » Other Other Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 25 Sep 2026 - 23:59 (Europe/Lisbon
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Framework for Medical Device Surveillance https://reporter.nih.gov/project-details/11091149 · CardioOnco-AI: AI-Empowered Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site
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modelling approaches. The position focuses on holistic catchment-scale studies and the development of scalable methods for monitoring the state, changes, and interactions of terrestrial and aquatic ecosystems
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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cell populations using spatial transcriptomics. Mechanisms by which bacteria modulate the tumor microenvironment will be studied using orthotopic mouse models, with a focus on myeloid cell populations
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, or a related field Strong background in computational modelling of surface chemistry and oxide materials Experience in developing and training interatomic machine learning potentials Experience in