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”): Physics-Guided AI for Climate or Earth System Model Downscaling Global climate and earth system models yield massive simulations at low space-time resolutions and are subject to uncertainties resulting from
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systems in the research project, including testing and troubleshooting. Implement and test machine learning models, which may involve data preprocessing, model training, and evaluation. Create and maintain
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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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AND PROCESSES : Metals, Manufacturing and forming processes, Durability and degradation, corrosion, Fracture mechanics MODELING - SIMULATION : Data entry: digital representation of materials, behavior
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Assistant to support applied research at the intersection of healthcare, artificial intelligence, and data analysis The primary focus of this role will be large language model (LLMs) and other machine
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and how to link your experimental data to your model. Furthermore, you will learn how to simulate your studied systems from a classical electromagnetism point of view using the transfer matrix model
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: - Experience in the field of simulation tool development - Broad scientific knowledge: probabilities, statistics, stochastic processes - AI knowledge: Generative models, Large Language Models (LLM) Abilities and
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, Community and Technical College, Kasitsna Bay Campus, Seward Marine Center, Tok Campus, Kuskokwim Campus, and Northwest Campus) Online: https://www.uaf.edu/orca/files/ASFSR.pdf . Request a paper copy in
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experiments (including novel tissue structures) and detectors and instrumentation. This is all underpinned by extensive mathematical models and simulations. The successful candidate will be a leading
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with primary synovial cells obtained from joints from arthritis patients (e.g., CRISPR knock-outs and phosphoproteomics signaling), in vivo arthritis models in newly generated transgenic mice (e.g