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computing, and digital twin technologies for mission autonomy and predictive analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission
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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
programme Reference Number AE2025-0564 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0564
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, Boston. Specific work hours will be determined by the supervisor. What you'll do Use existing clinical and imaging data (public or within hospital) to develop AI algorithms, apply them into research and
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cohorts and data generation resources through highly collaborative clinical faculty. Ideal candidates will have expertise in computational modeling, machine learning, or algorithm development, with
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earth observation technologies. Our researchers develop cutting-edge algorithms and AI-based solutions for data processing and validation and provide scientific expertise for the implementation of future
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a primary emphasis on designing smart algorithms to trigger non-invasive blood pressure (NIBP) measurements at critical times. This will involve leveraging physiological sensor signals such as the
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; apply the developed methodology to complex heterostructures The postdoctoral researcher will be recruited within the Chemical Theory and Modelling team (http://www.quanthic.org ) of the Institute
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monitoring. c. Develop custom algorithms, prompts, and inference workflows tailored to business requirements. d. Integrate AI services and APIs into existing systems and applications. e. Write clean, efficient
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(OpelRT or Typhoon), electrical system design for better efficiency and system resiliency, and energy management algorithm development using MATLAB/Simulink for marine microgrid applications. Knowledge
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Reference Number AE2025-0420 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0420.pdf CALL FOR