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or smart) method for carbonate reservoirs. After modeling, optimization studies will be conducted using proxy models. This position is for the Laboratory of Reservoir Simulation and Management (LASG) in
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Deploy, commission, and operate TES X-ray microcalorimeter spectrometers at APS beamlines, including cryostat integration, beamline interfaces, alignment, and stability optimization. Perform pathfinding
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staff position within a Research Infrastructure? No Offer Description Opportunity code: Postdoctoral (RL2_SP3_WP3.6) Area/Theme: “Thermo-Fluid Dynamic Models and Flow Assurance / Optimization
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Your Job: Operando X-ray investigations of energy materials, with a focus on chemical hydrogen storage Design, development, and optimization of advanced sample environments and reactors for high
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on optimizing the use of digital health technologies to better serve the needs of end users, including both patients and healthcare providers. This role offers an exciting opportunity to contribute to impactful
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complex instruments and run simulations to accelerate discovery. This involves navigating vast parameter spaces, identifying rare or transient phenomena, and dramatically optimizing the use of precious
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discovery machine for unlocking the secrets of the "glue" that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized RHIC Ion-Ion
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including code design, documentation and testing. Familiarity with optimization methods including Machine Learning (ML) techniques. Any experience with computations on GPUs. Working knowledge of Linux command
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infections using electronic phenotyping, supervised machine learning, live Epic/FHIR implementations for silent deployment, and multi-site data coordination. https://reporter.nih.gov/search