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theory, physics-based simulation, and machine learning. Job description The PhD project will develop machine-learning methods for atomistic materials modeling Possible research directions include machine
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boson decays, searches for supersymmetry and other new phenomena, and measurements of rare standard model processes. We vigorously pursue the use of machine learning techniques for data analysis
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systems, from data ingestion to model deployment. Hands-on experience with machine learning frameworks, particularly PyTorch, including model training, fine-tuning, evaluation, and experimentation
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methodological developments along the chosen direction (inference, active-matter theory, or machine learning). ◦ Algorithmic implementation and validation of the developed tools. 5. Validation on model systems
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values across different omics layers and platforms. Cross-omics data fusion and representation learning for comprehensive systems biology modeling. Identification of causal relationships and biomarker
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and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible
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the state through engaged civic learning, volunteerism, service, community-based research, education, and integrated efforts and partnerships. Posting Summary Rutgers, The State University of New Jersey is
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dedicated to the pursuit of health equity. Learn more: https://hospital.uillinois.edu/about-ui-health This position is intended to be eligible for benefits . This includes Health, Dental, Vision, Life
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of computational and applied mathematics, including but not limited to data-driven numerical modeling, scientific machine learning and AI for science and engineering, computational uncertainty quantification
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experimental model systems. Under the direction of the Principal Investigator, the Research Teaching Specialist V will perform cellular and molecular biology experiments related to the ongoing investigatory