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that emphasize modernization of scientific programming languages and workflows. This aligns with internal project directions emphasizing high‑productivity languages (Python, Julia, Rust) and their emerging
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) and quantum physics Familiar with programming languages and scientific computing Preferred Qualifications: Experience working with low-rank linear algebraic approximation methods. Experience with
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environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering
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with cyber physical security, applications of AI to cybersecurity, and software engineering principles Excellent written and oral communication skills Motivated self-starter with the ability to work
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device development. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
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Qualifications: Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field Strong programming skills in C++, Python, or similar scientific computing
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portability programming language (e.g., CUDA, HIP, Kokkos, SYCL). Special Requirements: Q Clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such
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. Familiarity with Python programming. Experience with modern software development practices to ensure code quality. Experience with computational geometry. Excellent written and oral communication skills
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in aberration-corrected STEM and EELS. Background in Python or MatLab. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate
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to optimize utility of captured signals Conceive, write, and submit proposals to develop and expand a research program investigating signal collection and analysis for mission objectives Qualifications: A PhD