439 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" uni jobs at University of Pittsburgh in United States
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responsibilities consistent with standards and regulations set forth by regulatory agencies and Hospital/Medical Staff Bylaws, Rules, Regulations, Policies, and Procedures • Develop metrics and dashboards
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in research funding. A leader in the treatment of mental health and addictive disorders, UPMC is consistently ranked among the nation's top hospitals for psychiatry by U.S. News & World Report. We have
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scholars with a focus on one or more of the following areas: Environmental humanities Legacies of colonialism and modernity Legacies and politics of violation Migration U.S. influence and interactions with
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data scientists, providing summary reports, regression analysis, application of publicly available signal processing methods, and executing machine learning training processes. Familiarity with R
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cities in the U.S. (Condé Nast Traveler), among other accolades. The region offers exceptional school systems, numerous colleges and universities, abundant parks and outdoor recreation, a thriving arts and
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Growth: Opportunities for continuous learning, professional development, and career advancement. Competitive Benefits: Enjoy a comprehensive benefits package, including health insurance, retirement plans
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positions offer highly competitive salaries and generous benefits. Interested candidates should apply to Requisition # 23003551 at https://www.join.pitt.edu/ . The University of Pittsburgh is an equal
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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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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