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Field
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, benefits include generous holiday allowance, access to advanced research software/clusters, structured career development mentoring, and discounted facilities. We welcome applications from both external and
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, collaborate with interdisciplinary teams, publish in leading scientific venues, and contribute to emerging QHPC software and system technologies. Major Duties/Responsibilities: Develop and evaluate
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activities. This is an exciting opportunity to work within a collaborative group with deep expertise in silicon detectors, Trigger/DAQ (TDAQ) systems, software, and computing. The Argonne ATLAS group plays a
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education. The project will involve software development for Apple Vision Pro using Swift and the Apple spatial computing ecosystem, as well as the development and deployment of edge AI models for automated
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biology analysis, bioimaging with advanced image analysis, plant transformation, AnalyzER software for analysis of cellular structures) • Experience with statistical analysis • Excellent team
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experience as an instructional designer or course developer; proven track record of delivering projects on time and within budget; demonstrated knowledge of best practices, current research, and innovations in
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, pandas, scikit-learn), Linux, and Git. Proven ability to develop well-documented, maintainable research software and manage experimental datasets. Strong publication record relative to career stage
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have knowledge of software development principles, and machine learning, including deep learning experience, as well as a strong background in research processes, including report writing, and producing
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computational tools and software, preparing manuscripts for publication in high-impact journals, presenting research at scientific conferences, and contributing to NIH and other federal grant proposals
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priorities and work demands. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant