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and assessing weld quality of mechanical parts in real-time by developing machine learning models that use sensor data and other tasks that are assigned to you. Core Responsibilities: Understanding
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through peer-reviewed publications and/or preprints • Ability to work independently as well as collaboratively Preferred Qualifications • Experience using Drosophila (fruit flies) as a research model
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modeling, and high-field NMR spectroscopy. The research will focus on the structural and dynamics of characterization of peptides, peptide analogs, and related molecules, and their interactions with specific
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towards a shared goal. You will be responsible for the design and pilot testing of machine learning-based automated ultrasound video analysis models that incorporate temporal reasoning. The research will
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. Proven ability to be an excellent team player. A high commitment to safety. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. This position requires an on-site
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or robotic systems Knowledge of system integration, instrument control, workflow automation, and data acquisition Experience developing and applying AI/ML methods, including predictive modeling, active
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, and clinical insights, with validation using advanced human skin models and in vivo animal models. Key Responsibilities • Design, fabricate, and evaluate biomedical technologies, including structural
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how policymakers use research evidence. This includes evaluating dissemination and impact or research translation models, such as the Research-to-Policy Collaboration model. The Scholar would be
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independent work may use, extend, or contribute to NCEMS Working Group data products, analytical tools, computational models, and methodological innovations. The scholar will also collaborate with NCEMS Working
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modelling of vegetation and soil dynamics in dryland settings. Collaborate with lab members, project partners, and project leadership on research ideas and direction. Participate in research meetings; lead