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23 Mar 2026 Job Information Organisation/Company Universidade de Coimbra Department Department of Mechanical Engineering Research Field Engineering » Electrical engineering Engineering » Computer
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Fellow or Research Engineer with strong expertise in Human-Computer Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team
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utilizing quantitative tools and qualitative methods for policy and/or technical analysis Publication record that includes a combination of peer-reviewed journal, research reports, issue briefs, op-eds, and
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). Excellent interpersonal skills and ability to work with diverse group of staff. Excellent organizational and computer skills and record-keeping habits. Experience juggling multiple parallel efforts and
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, on an equivalent year-for-year basis may be substituted Skills: Advanced computer skills, including experience with Microsoft Office Suite, Adobe Sign, and databases Advanced customer service skills Understanding
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 12 hours ago
YOU MUST APPLY TO THIS POSTING AT THIS APPLICATION SITE ONLY : https://www.utsc.utoronto.ca/webapps/cupehiring/dept/cms/app/sl If you have any issues applying, please contact Kelly Squier
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 12 hours ago
YOU MUST APPLY TO THIS POSTING AT THIS APPLICATION SITE ONLY : https://www.utsc.utoronto.ca/webapps/cupehiring/dept/cms/app/sl If you have any issues applying, please contact Kelly Squier
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 26 days ago
proper mechanisms for guaranteeing the privacy of the patients. Additionally, AI methods that explore this data may ensure that the patients are not identifiable and that all decisions are transparent
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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing
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selection. However, currently, no unbiased method exists to accurately estimate genetic variance in populations under selection. The GEN project aims to develop and validate a general method to quantify