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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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modern advanced optical and x-ray spectroscopy and microscopy techniques for the characterization, modification and control of model silicon and other intermetallic anodes and their electrode/electrolyte
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complex materials systems. Advanced data analysis and scientific model development using Python or other scientific programming languages, including experience with automation, instrumentation control
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, providing rigorous theoretical guarantees, and modelling complex physics, noise processes, and measurement error. You will work closely with mathematicians, software engineers, physicists, materials
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retirement benefits , including pension or 401K-style plans Opportunities to grow in your career - check out our Tuition Assistance Program A culture where you'll belong - we are invested in our teams! In
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computing. Model and analyze Rydberg-mediated interactions for both single-atom and ensemble qubits. Analyze optical trapping and transport dynamics of single atoms and ensembles. Evaluate and benchmark
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develop, test, and benchmark new optimization models, active learning and sampling strategies, and design novel machine learning and agentic frameworks that close the feedback loop for automated discovery
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tools, power tools, and a machine shop environment and safety principles. Desired Qualifications: Familiarity or proficiency with mechanical CAD modeling. Notes: This is a part-time (8-16 hours/week) 1
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spectroscopy (e.g., LIBS), pump-probe experimentation, or filament air lasing. Prior experience with optics modeling. Experience with basic surface morphology characterization technologies (SEM, optical/confocal
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. Understanding of object-oriented programming, data structures, algorithms, and software design practices. Development experience with Matlab, Python and C/C++ programming languages. ML/LLM models knowledge and