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Field
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quantitative data analytic skills and experience conducting statistical analyses with large databases. Strong writing and verbal communication skills. Knowledge of transgender health, LGBTQ health disparities
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems. -The candidate will work on the synthesis
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NSF-Simons Foundation-funded National AI Institute for the Sky | Chicago, Illinois | United States | 10 days ago
, United States of America [map ] Subject Areas: Computer Science and Electrical and Computer Engineering Artificial Intelligence, Machine Learning and Autonomy Data Science Artificial Intelligence Astronomy / Astronomy and
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requires a scientist with experience in fisheries and hydroacoustics surveys. The individual will use available and new data collected with active acoustics (sonar) in the Laurentian Great Lakes
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computational biology and bioinformatics, with experience in: Applying deep-learning or AI-based methods for image denoising. analysis of whole-genome sequencing (WGS) or other large-scale sequencing data
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 4 hours ago
construction of and analysis of a large dataset that integrates data from multiple sources. The role includes: ● Leading dataset construction efforts. ● Supporting the new Center for Migration and Diaspora
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Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and analysis of large-scale 2D/3D scientific data
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research funding than all other New Jersey universities and colleges combined. Rutgers manages Protein Data Bank (PDB), the global archive of 3D structure data for large biological molecules (proteins, DNA
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research and have a strong background in bioinformatics and large-scale data analysis, we encourage you to apply. Key Responsibilities Research Leadership & Data Analysis (80%) ● Lead the analysis of complex