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Reference Number AE2025-0573 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0573.pdf CALL FOR
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are seeking to recruit a Senior Research Fellow to work on the development and implementation of methods for improving small area modelled human population estimates. The successful candidate is expected
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: Experience or familiarity in one or more of the following: Embedded or real-time software systems Robotics or autonomous systems Computer vision or image-based sensing Controls systems or automation Data
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supervising a team of licensed and unlicensed educators in the Clinical Computer Education department. Your leadership will extend across the organization, influencing educational excellence for stakeholders
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 26 days ago
for the preparation and implementation of the project activities. Duration and start date The fellowship will have an initial duration of 6 months, with an estimated start date of February 2, 2026. The fellowship
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of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows
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relevant to regulatory affairs in clinical research. Experience with medical terminology and investigative scientific methods. Preferred Qualifications Education: Masters or higher degree in life sciences
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blueprints, diagrams, sketches, and job specifications; estimate time and material to be used on the job; stock, maintain, and may operate a University service vehicle. This position will carry an on-call
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Plan programme, aimed as a flagship project for changing planning and scheduling in high mix low volume (HMLV) production by leveraging hybrid AI, data-driven workload estimation, intelligent release
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opportunity, please visit: https://www.schooljobs.com/home/applicationguide APPLICATION PROCESS: Complete the online application: Include all current and previous education completed. Include area of focus