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acousto-structural transmission paths, developing predictive models, and producing research outputs that support practical noise mitigation solutions for the built environment industry. Key Responsibilities
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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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national scale programmatic decisions and policy. Specific activities include: Operationalize, and where needed, improve Bayesian spatio-temporal feral swine abundance model allowing predictions to be
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Portuguese version A call is open for the award of one Research Fellowship within the scope of the project “PROSPER: Predictive models for sustainable protein recovery”, funded by FEDER and by National Funds
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seeking a highly motivated Research Fellow in Automation and Control to support the advancement and scaling of biomanufacturing processes. You will address key technical challenges, including in process
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research fellows to join a multi-year research initiative sponsored by the Bezos Earth Fund . This project aims to develop and deploy advanced AI-driven learning, prediction, and decision-making tools
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long-term goal of our group is to develop a self-consistent model of FGFs and other lightning-generated high-energy radiation, then using radio and optical predictions from this model to compare against
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].. [1] Salomonsen, C. "A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F]FDG PET imaging. " EJNMMI Research, 2026. [2] Thomas, S
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FGFs and other lightning-generated high-energy radiation, then using radio and optical predictions from this model to compare against ALOFT observations to ultimately solve the FGF puzzle while
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predictive and testable, through this end-to-end approach, with a particular emphasis on the Earth, Moon, Venus, Mercury, and Mars, but also terrestrial planets around e.g. a red dwarf star with orbital