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phenotyping, machine learning and advanced statistical approaches. The doctoral project will be developed jointly with the successful candidate and tailored to their methodological background, previous research
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clinical microbiology, public health, genetic sequencing, statistics, machine learning, bioinformatics and software engineering, with a supportive culture in which knowledge is shared. We aim to make rapid
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applications for a PhD Research Fellow position in fairness in artificial intelligence, available at the Department of Informatics, in the Scientific Computing and Machine Learning (SCML) research group
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. Knowledge, Skills & Abilities Knowledge of Cisco switches and Meraki wireless equipment. Employee must have good working knowledge of network architecture. In addition, knowledge of computer system analysis
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building maintenance shop. Knowledge of relevant computer applications. Ability to read blueprints. Ability to plan efficiently and communicate effectively. College/Business Unit : Facilities Management
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engages substantially with artificial intelligence, data science, or scientific machine learning. The successful candidate will have a primary appointment in Mathematics and opportunities to collaborate
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Position Details Position Information Recruitment/Posting Title PostDoctoral Associate in Artificial Intelligence/Machine Learning and Data Science Department Quantitative Biomedicine Inst Salary
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essentials, data structures and/or databases, statistical computing and machine learning. Experience: Experience within an academic environment. Experimental design including basic science experiments
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people learn, how learning environments are designed and studied, and how research on learning can inform educational practice. Areas of interest may include, but are not limited to, learning and cognition
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package, including health and life insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https