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with plants. ● Experiment design and statistical analysis skills. Preferred Qualifications: ● Experience with plant lipid analysis. ● Prior experience with gas chromatography/mass
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, Physics, or a closely related field. Experience in cloud and atmospheric boundary layer observations, modeling, and data analysis, or in Raman and Doppler lidar system development. Strong software
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mathematical analysis, and implementation level where actual systems for these proofs are developed for deployment in larger real world applications. An ideal candidate would have multiple publications
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral degree or foreign equivalent. Experience in crystallography, pair distribution function analysis, and
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experience with viral infected cells/mice and the use of viral reverse genetics approaches. Analysis of murine CNS and immune responses using single cell RNA sequencing, qRT-PCR analysis of cellular and viral
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experience with viral infected cells/mice and the use of viral reverse genetics approaches. Analysis of murine CNS and immune responses using single cell RNA sequencing, qRT-PCR analysis of cellular and viral
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, Mathematics, Physics, or a closely related field. Proficiency in machine learning libraries (e.g, scikit-learn, PyTorch, and transformers) and data analysis tools (e.g., pandas, NumPy, and CuPy). Hands
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, Mathematics, Physics, or a closely related field. Proficiency in machine learning libraries (e.g, scikit-learn, PyTorch, and transformers) and data analysis tools (e.g., pandas, NumPy, and CuPy). Hands
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mathematical analysis, and implementation level where actual systems for these proofs are developed for deployment in larger real world applications. An ideal candidate would have multiple publications
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data, image data analysis, and writing up results for publication in peer-reviewed journals. The successful applicant will be highly motivated, self-starting, curious, and collaborative. Computational