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matching, optimal transport or cell-cycle modelling. Key Responsibilities These include but are not limited to: Leading an independent research project in scientific machine learning and mechanistic
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an ambitious researcher with expertise in artificial intelligence, machine learning, or computational statistics, and a demonstrated interest in applications to human genetics and/or population health. We
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by applying existing and novel computational biology, bioinformatic, and machine learning algorithms to sequencing datasets and correlating them with multi-dimensional clinical datasets that contain
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of the first programs in the U.S. to bring together multi-disciplinary postdocs to accelerate translational research on NDDs. The UNC-CIDD T32 program has trained over 65 postdoctoral fellows to date, many
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provides researchers, students, and instructors with state-of-the-art methods, data, and software.. The Postdoc will: 1) work with other CGA team members to develop and offer state-of-the-discipline
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where new health hazards (such as vapor intrusion or changes in chemical toxicity) have emerged. Learning Objectives: You will have the opportunity to: Learn ATSDR’s approach to conducting public health
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& Amputation Center of Excellence (EACE) is a unique organization within the Department of War (DoW) consisting of teams of researchers embedded at the point of care within multiple Military Treatment Facilities
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or more statistical or scripting languages, preferably R or MATLAB. Knowledge of survival-based statistical analysis, such as Cox regression and Kaplan-Meier analysis. Working knowledge of machine learning
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, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application. Strong technical expertise in one or more of the following
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to the Terascale Project Knowledge of research methods relevant to AI for materials science Knowledge of one or more of the following areas: machine learning interatomic potentials, generative AI, automated and