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stage of an academic or biomedical research career. Key Responsibilities: 20% – Experimental Research, Project Development, and Data Analysis · Design, plan, execute, and analyze experiments
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, and use advanced analytical techniques on product identification. Required Qualifications - Recent Ph.D. in organic synthesis, asymmetric catalysis or an appropriate related field. - Experience in
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, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Develop and apply AI/ML methods to integrate heterogeneous geospatial, remote-sensing, hydrological
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the production of the CBC catalog. The successful candidate is expected to have strong analytical skills and experience with signal processing, Bayesian statistics and machine learning. Exemplary
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of expertise, utilizing advanced knowledge and skills gained through education and experience to complete research projects. Assists with the preparation and cleaning of the worksite. Analyzes research data
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analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and safeguards University assets
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omics data, and access, curate and data mine publicly available repositories such as PRIDE. The role will involve close collaboration with research team members to interpret findings, refine analytical
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illness and substance use disorders. Research activities are supported by robust clinical, regulatory, and data management infrastructure and are closely integrated with clinical services, enabling
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-on experience with analytical techniques such as gel permeation chromatography (GPC), rheology, and nuclear magnetic resonance (NMR) spectroscopy Ability to model Argonne’s core values of impact, safety, respect
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: PCR RT-qPCR Western blotting Immunofluorescence Design and execute next-generation sequencing experiments, from library preparation through downstream data analysis. Apply advanced technologies