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Field
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combination of observational data, machine learning techniques, and cosmological simulations. The group is actively involved in multiple JWST Guaranteed Time Observation (GTO) and General Observer (GO) programs
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packages for data processing and simulation. Analyze high-throughput photon event data to extract spatial and temporal correlations. Collaborate with experimental staff on algorithm validation and feedback
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dosimetry. The simulation includes dose deposition and analysis under a phantom system and compares the simulated results with already developed new generation dosimeters used under treatment planning systems
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model algorithms for livestock enteric fermentation and manure housing and management using a scientific programming language. Integrate the modules into the APEX ecosystem simulation model. Assess and
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: Postdoctoral Position Location: Evanston, Illinois 60201, United States of America [map ] Subject Areas: Astrophysics / Astronomy , Astrophysics , Black holes , Numerical Simulations , Observational
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multiscale simulation methods for quantum mechanical properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms
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will involve designing beam dynamics experiments, measurement, simulation, and data analysis. This position resides in the Accelerator Physics Group in the Accelerator Science and Technology Section
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for construction operations. The successful candidate will contribute to cutting-edge research in mixed reality (MR)-based simulation platforms, machine learning-based process optimization, and human-machine
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for simulating river network dynamics, such as R, Julia, Python, or GIS-based hydrological modeling platforms. Ability to integrate physical, chemical, and biological components into the river-lake network models
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in binding and removing heavy metals (e.g., lead, cadmium, chromium) from simulated and real-world exposure scenarios. Perform advanced analytical techniques, including ICP-MS, LC-MS, NMR, microscopy