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experiments, antiferromagnetic spintronics, or cavity spintronics. Proficiency in scientific software development (e.g., Python, COMSOL, HFSS). Demonstrated ability to work independently and
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performance studies, detector operations, and/or upgrade activities Strong skills in scientific programming, software development, and data analysis Ability to work effectively in a collaborative
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, PyTorch, and the Python scientific stack (e.g., numpy, pandas, scikit-learn). Passion for front-end development and web-based applications, back-end services and API design (e.g., FastAPI, Flask), and
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include work at Jefferson Lab, the Electron-Ion Collider (EIC) program, detector research and development, and applications of AI in nuclear physics. Applications received by Tuesday, November 4 will
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, discussion of technical results, and in the development of technical reports and presentations is required. Knowledge of the use of computers to design and control experiments and to analyze and interpret
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calculations or the development, training, validation, or application of machine learning interatomic potentials. - Experience developing enhanced sampling methods. Please upload the following as attachments
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project focuses on the development of superconducting qubits and circuits for use in quantum sensing experiments. The successful candidate will design, fabricate, and characterize superconducting
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The Chemical Sciences and Engineering Division seeks a Postdoctoral Appointee to conduct research focused on the development of long-life, high- density cathode materials for electrochemical energy
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workflows into model development and scientific analysis. This position offers the opportunity to collaborate closely with experimental teams working in areas such as electrochemical characterization and
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nitrogen-vacancy (NV) diamond quantum magnetometry for high-energy physics experiments. The HEP Division performs cutting-edge research leveraging advanced detector development, high-performance computing