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: 10.1101/2025.09.08.674950), and AI/machine learning. We work closely with clinicians to translate our findings into clinical practice, focusing on genomically complex sarcomas and haematological
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of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 . The University of North Georgia, a regional multi-campus institution and premier senior military college
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messages, return emails or other forms of correspondence, communicated with students and other staff members. Minimum Qualifications: Ability to learn and perform assigned work; follow oral instructions
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times for the PT & exam please, visit the UAPD recruitment website at: http://police.ua.edu/recruitment All communication will be sent via email. Job Summary: The Police Officer Trainee I completes UAPD
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, dimensionality reduction and/or machine learning methods (e.g., Lasso, ridge regression) is highly desirable. Familiarity with neurostimulation, Parkinson’s disease, or neuropsychological assessment tools is
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of cybersecurity. Examples areas of interest include, but aren’t limited to: ● Problems at the intersection of cybersecurity and artificial intelligence/machine learning (AI/ML) ● Systems and
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular
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@tufts.edu . Applicants can learn more about requesting reasonable accommodations at https://oeo.tufts.edu/ Create a Job Match for Similar Jobs About Tufts University Tufts is a leader in American higher
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research in Physics-Informed Machine Learning (PIML) for metal additive manufacturing process. This role will focus on developing novel machine learning frameworks that seamlessly integrate physical
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apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular dynamics (MD) simulations