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, machine learning and AI-based computational tools to advance biomedical as well as oncology research. The fellow will work under the supervision of Dr. Veera Baladandayuthapani and there will be
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, and/or service, to the multiplicity and excellence of the academic community. Required Qualifications* This position requires a PhD or MD/PhD degree in Electrical, Biomedical or Computer Engineering
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technology. The school was one of the first iSchools in the nation and our interdisciplinary faculty spans such areas as data science, computational social science, human-computer interaction, social media
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Required Qualifications* A PhD in Information, Human-Computer Interaction, Computer Science, or a related field; conferred by the start date Desired Qualifications* Experience translating research outcomes
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, including applications of machine-learning to spatial and temporal time series data. Coordinate Center data collection efforts and team integration activities. Coordination of data collection efforts
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discipline or a related field - Strong demonstrated verbal and written communication skills Desired Qualifications* - Familiarity with manufacturing systems and processes - Experience with machine learning and
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research in linking wire arc additive manufacturing processes to material performance, requiring a high level of expertise in both experimental characterization and machine learning development. Bridge
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students to learn about our master's and PhD programs in genetics. Primary Purchasing Back-up Serve as the primary purchasing back-up for the Department helping to process M-Marketsite carts when
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waters and engineered water treatment systems; covers acid-base, precipitation-dissolution, complexation, and oxidation-reduction reactions; emphasis on graphical, analytical and computer-speciation
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business environment Both: Fluency in Python and/or R for data analysis and pipeline development Experience with statistical and machine learning methodologies applied to biological datasets Experience