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and natural language processing to identify and monitor emerging risks to higher education institutions. This includes analysing legislation, policy documents and political discourse to track
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, (plus Caltech Holidays) Annual sick leave: 15 days Health, dental, and vision insurance Process timeline: September 25, 2026: Applications are accepted November 15, 2026: Deadline for applications
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is preferred. 3. Experience in chemical reaction engineering, hydrogen production, or gas separation processes is an advantage. 4. Familiarity with catalyst and membrane characterization
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-being and achievement - enabling everyone to unlock their potential and contribute with confidence. Job Summary Manufacturing is a highly complex field involving materials, machines, and processes
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- “Biorefinaria de resíduos marinhos: plataformas bioativas para uma indústria cosmética circular”, with reference COMPETE2030-FEDER-00814400, operation no. 16862, funded by FEDER funds (COMPETE 2030) and national
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• Possess a PhD in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines) by December 2024. • Strong knowledge and
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to effectively manage many competing demands simultaneously. Please note that Garda vetting and/or an international police clearance check may form part of the selection process. Project Title: Research Fellow for
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outcomes. Research Data Management and Analysis: Lead the processing, cleaning, integration, validation and analysis of complex clinical and skin imaging datasets, including 2D and 3D medical imaging data
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of legal, regulatory and political texts, using methods from computational social science and natural language processing to identify and monitor emerging risks to higher education institutions
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through field-based surveys, and from ground-based sensors, proximal sensors and UAVs and satellites. These data are often used to drive process models, that ultimately are used to optimise aspects