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and written reports detailing the status of ongoing work, using spreadsheets, word processing, and graphics computer programs, participating in lab meetings, and accomplishing general laboratory tasks
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assigned by the Director of the LEO Dr. David P. Chan Institute of Data Science. General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer
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- 2026, in the following terms: .SCIENTIFIC AREA: Electrical and Computer Engineering. . RECIPIENTS: Undergraduate students in Electrical and Computer Engineering or related areas, who are students
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for – Selection Criteria: Essential: A PhD in remote sensing, geoinformatics, computer vision, or a related discipline. Demonstrated expertise in hyperspectral remote sensing, including pre-processing (e.g
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. Fluent in French and English. Experience working as a member of a multidisciplinary team. Ability to write publications, reports, and projects. Oral and written communication skills. Computer skills
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UCD Center for Labor and Community - Engaged Research Fellowship Project Coordinator (PROJECT POLICY
marketing materials based on intended audience (colleagues, faculty, students, employers, etc.). Advanced computer skills in Microsoft and Mac environment, including, Access, Word, Excel, PowerPoint and
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UCD Center for Labor and Community - Engaged Research Fellowship Project Coordinator (PROJECT POLICY
requirements, and changing priorities. Skills to prepare data presentation and marketing materials based on intended audience (colleagues, faculty, students, employers, etc.). Advanced computer skills in
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and strong teamwork skills, with a willingness to work as part of a large multi-disciplinary team Strong computer programming skills. Specifically, experience in the use of Matlab and/or Python
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Biomolecular Engineering ) and Professor Gregor Verbic (School of Electrical and Computer Engineering ), in partnership with industry collaborators. Your key responsibilities will be to: develop, implement, and
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tier conferences and journals in data mining/machine learning, Artificial Intelligence in Education and Educational Data Mining, Human-Computer Interaction strong technical expertise in data mining, data