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to accelerate the path to certification. More details on the project can be found here: https://hecustom.eu/ This post will contribute to the creation and validation of a digital twin (with biological bone models
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 7 hours ago
of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
models of SIV/HIV infection or other viral infection models with expertise in flow cytometry, tissue culture, and cellular immunology to facilitate translational research at the clinical/basic science
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to early-stage efforts focused on muscle biology and inflammatory disease. The successful candidate will apply their expertise in murine models and immunology to explore disease mechanisms, validate novel
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NIST only participates in the February and August reviews. Calphad-type models have been successfully employed to describe composition-dependent diffusion mobilities in a variety of disordered
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uses cutting-edge techniques including single-cell and spatial transcriptomics, proteomics, super-resolution microscopy, in vivo tracking, mouse models, and human patient tissues and iPS-derived cells
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, scikit-learn, numpy) Experience with large language model APIs (OpenAI GPT-4, Claude, or similar) Demonstrated ability to design and implement NLP pipelines Understanding of evaluation metrics (precision
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, artificial intelligence (AI), and socio-economic analysis. This program will equip them with advanced expertise in reservoir modelling, machine learning, advanced oxidation processes (AOP), and microbial
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(PDEs) and modelling with PDEs. The applicant’s research focus must be a specialisation in numerical analysis for PDEs. The specialisation should both strengthen the division’s current research in
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness