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Field
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the study of clouds and cumulus convection Strong conceptual understanding of cloud microphysical and turbulent processes Expertise in the use of modern scientific visualization software (Python, Matlab, etc
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of both biology and (agent-driven) software engineering Fluency in written and spoken English Embraces complexity Our offer An interdisciplinary environment spanning wet-lab, technology-development and
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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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, 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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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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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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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