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models, causal inference and machine learning. Dr. Liu's research interests lie in modeling the rapidly-accumulating big data (e.g., muti-omics) in biology and medicine for precision medicine via a
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neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science, and collaborative adventure. Required
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modelling, hybrid modelling and/or machine learning to study ecosystem processes, as well as with handling of big data and/or processing of Earth observation data. Specifically, experience with Python
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motivated postdoctoral researcher with: Experience in relational databases, big data curation and analysis Expertise in machine learning, including building and deploying prediction models Strong data
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Information Science, with no more than five years post receipt of the PhD. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science
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, machine learning, data science, drug discovery, and related fields are encouraged to apply. Strong computational backgrounds (AI/ML foundation models), proficiency in at least one programming language
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sensing, computer vision, mental health, data fusion, computational medicine, predictive analytics, big data, neuroscience, and related fields. AI + Life Sciences: Participate in research projects that
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in statistical machine learning, analysis of high-dimensional networks, and integrative analysis of complex biological data, including big omics data. Dr. Floyd is Co-Director of the UW Cardiovascular
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, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and