424 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Pittsburgh
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the guidance of the PI. The project aims to compare neural representations in artificial and biological neural networks. The candidate will learn to implement artificial neural networks, conduct
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the guidance of the PI. The project aims to understand the neural computation in context-dependent decision-making tasks using recurrent neural network models. The candidate will learn to train neural
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five to seven years as Associate Professor. The rank of professor recognizes the attainment of authoritative knowledge and reputation in a recognized field of learning and the achievement of effective
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listed above. These positions offer highly competitive salaries and generous benefits. Interested candidates should apply online to Requisition #25000613 at https://www.join.pitt.edu/ . The University
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of resources that strengthen the effectiveness of learning initiatives. Physical Effort Mostly sedentary computer/office work, some travel across regional partner sites, must be able to get to various offices
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Program Coordinator - OLLI Engagement and Community Affairs - Pennsylvania-Pittsburgh - (26001312) The Program Coordinator will support the Osher Lifelong Learning Institute (OLLI), a membership
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response to electrical stimulation. Develop axonal conduction models to study nerve conduction and block by complex electrical stimulation waveform. Develop neural network and machine learning models
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patients in an outpatient and hospital setting. Salary and academic rank are commensurate with experience and qualifications. Applicants should apply through the Talent Center at https://www.join.pitt.edu
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patients in an outpatient and hospital setting. Salary and academic rank are commensurate with experience and qualifications. Applicants should apply through the Talent Center at https://www.join.pitt.edu
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direction from faculty. As a member of the broader Instrument Management Service staff, the incumbent will also be expected to learn and participate in all phases of preventive maintenance of instrumentation