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Internal Number: 7044841 Program Coordinator for Personal Growth & Transformative Learning (On-Site) Hiring Range The University of California, Merced is required to provide a reasonable estimate of the
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from assigned supervisor. Supervision Given Direct supervision of assigned staff. Required Education Bachelor’s degree in Computer Science, Information Technology or computer related field from
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experience required. Knowledge, Skills & Abilities: Must have a valid AR driver's license. Basic computer knowledge (i.e., Outlook, Microsoft Word). Responsibilities: Requests records and input data
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outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance. Excellent
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10 Mar 2026 Job Information Organisation/Company Universitat Pompeu Fabra - Department / School of Engineering Department Engineering Research Field Engineering » Computer engineering Researcher
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Mar-26 Location: San Diego, California Categories: Academic/Faculty Computer/Information Sciences Internal Number
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 days ago
probability theory. Topics covered include descriptive statistics, limit theorems, sampling distribution, point and interval estimation, hypothesis testing, contingency tables and count data. A statistical
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Computer science » Computer systems Computer science » Programming Technology » Computer technology Technology » Information technology Medical sciences » Health sciences All Researcher Profile First Stage
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, sesgos e impacto medioambiental de la adaptación de modelos de visión por computador/Analysis of the explainability, bias and environmental impact caused by the adaptation of computer vision models. Where
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
: The scholarship holder will acquire electrophysiological data (EEG; ECG; EMG) from healthy and/or stroke patients, involving brain-computer interfacing with VR training in a lab and in a clinical environment