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opportunities to mentor undergraduate and graduate students and to contribute to grant proposal development. The successful candidate will have strong verbal and written communication skills and must be able
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specifically on developing machine learning-based surrogates and emulators for the dynamics of power grids. This role involves creating advanced probabilistic models that capture the complex behaviors
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National Laboratory is hiring an Electronic Structure Theory Postdoc within the Chemical Sciences division. This position provides a unique opportunity for development and application of state-of-art
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/program conceptualization and development, grant proposal development, and other related activities. This position will focus on community-based intervention studies and/or longitudinal cohort studies
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carlo), as well as experience in developing and/or applying advanced AI/ML methods to accelerate materials discovery. The project will involve integrating such theory-informed AI-models for creating
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, principles and theories. Develops tools and code to conduct advanced analyses of ocean and atmosphere datasets. Adheres to University and unit-level policies and procedures and safeguards University assets
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team to develop teaching methodologies that combine theoretical learning with AI in the classroom. Candidates should address how they would contribute to the research and/or teaching missions of our
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(fluorescence or CD or NMR or EPR, for example). Protein and cofactor quantitation’s, standard curves, analysis of spectra, making figures. Anaerobic technique, including gas train (vacuum line) and glove box
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histology, developing clinically relevant ex-vivo and in-vivo large animal models for investigating musculoskeletal disorders, data analysis and presentation, and manuscript preparation. What you need to know
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We are seeking a highly motivated Postdoctoral Appointee with a strong background in artificial intelligence and machine learning (AI/ML), with particular emphasis on the development and application