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Field
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without boundaries. Position Description Research Assistant will conduct research focusing on the following tasks: Creating and optimizing computational platform for the design of nanophotonic structures
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(e.g., superconducting quantum processors). Validate, analyze, and interpret experimental data and results. Simulate the performance of quantum circuits on classical supercomputers. Design and optimize
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to uncover novel immune cell states and mechanisms. Develops and optimizes new experimental protocols. Summarizes findings and contribute to manuscript preparation and grant applications. Mentors junior lab
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. The candidate should have a strong background in process modeling, control, optimization, applied machine learning, and AI. City: Cranbury State: NJ Location: Off Campus Create a Job Match for Similar Jobs About
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degree and experience in a relevant field. Ideal applicants will have experience in energy-system transition modeling, linear and mixed integer optimization programming, energy-related techno-economic
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simulations and multiscale spatial-omics data. • Integrate uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments
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, to advance the labs research goals. Develop new experimental approaches: Establish and optimize innovative methods such as live-cell imaging, biochemistry, or molecular biology to address key biological
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enhance optimization algorithms, help practitioners select the most effective algorithms, and guide the discovery of entirely new algorithms. Many of today’s most pressing challenges involve complex
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presence at the Argonne campus in Lemont, Illinois. Preferred Qualifications: Experience in interdisciplinary collaborative research. Knowledge of large scientific code management and optimization. Job
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and has a zest for organization and accomplishing goals. Job tasks include optimizing intrinsic labeling systems (13CO2, 2H, 57Fe, etc.); developing high-throughput extraction, sample clean-up, and