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and teach upper-division courses focused on international political systems and issues for the online Bachelor of Arts in Social Sciences (BASS) program. Topics may include globalization, climate change
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%: Other duties related to teaching of a course. This is a blanket posting for the Department of Electrical and Computer Engineering, and not for a specific vacancy. Applicants will compose a pool for future
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) Corrosion behavior (electrochemistry & high-temperature oxidation) In-situ monitoring of AM processes Computational skills in: Phase-field modeling, Machine Learning, FEM, DEM, COMSOL Alloy design (CALPHAD
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. Research opportunities will focus on the use of novel modeling tools for hydrology and water resources systems, with an emphasis on machine learning and remote sensing, with a focus on developing detailed
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University of California, San Francisco | San Francisco, California | United States | about 1 hour ago
education program learners. Coordinates program operations, which include teaching and learning activities, program curriculum, learner scheduling, and reporting education data, maintaining databases
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members. The faculty members are internationally recognized in research areas including power and energy systems, wireless and photonics systems, semiconductors, RF, and devices, AI and machine learning
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Interest in learning and strengthening existing skillsets Strong technical and programming skills, familiarity with current deep learning techniques, with a focus on computer vision Contact Information
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available single-cell sequencing data generated from patient samples and mouse models, we will enhance and apply machine-learning based algorithms to deconvolute bulk tumor RNA-seq samples to distinct immune
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projects utilizing machine learning, deep learning, and generative AI to solve business and healthcare problems have been undertaken at the Insight Lab. For more details, please refer to: https
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning