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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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Classification Title: Post-Doctoral Associate Classification Minimum Requirements: Must have PhD in astronomy or physics. This position will be initially awarded for one year, and, contingent upon
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: The candidate must have a Ph.D. (or MD/PhD) in biological sciences such as molecular biology, cell biology, cancer
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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC
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postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning. Dr. Liu's
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/or interest in applying Social Network Metrics to language and cognitive outcomes. -Have experience and/or interest to acquire expertise in machine learning applied to language modeling. Special
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science, information science, data science, (bio)-statistics, (applied) mathematics, physics, or a related STEM fields. Strong programming and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep
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Associate positions in Clinical Health Psychology. Appropriate candidates will have obtained a doctoral degree (PhD or PsyD) from an American Psychological Association (APA) or Canadian Psychological
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studies. Develop and apply advanced statistical methods and machine learning techniques using tools such as R and Python. Integrate and run process-based models (e.g., crop models, hydrologic models
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Biology, Development, Molecular Biology, Genetics, Neuroscience, Evolutionary Biology or similar field