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research programme in fundamental AI, AI co-scientists, and applications in complex scientific domains such as RNA sequence-function modelling, structure prediction, and inverse design. Further information
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, funded by INAIL through the 'BRiC-2025' call, and will focus on the development of Artificial Intelligence (AI) models for automated anomaly detection in energy and industrial systems and structures, fault
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• Partners with University administrators in the development, execution and on-going review of strategic business initiatives and plans • Defines and performs complex economic analysis and modeling to evaluate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
science majors but on all students becoming data literate. The School’s culture has an open and transparent structure, governance, and business model. Position Summary The Division of Data Science and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
science majors but on all students becoming data literate. The School’s culture has an open and transparent structure, governance, and business model. Position Summary The Division of Data Science and
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an important contribution to global marine and environmental research. In the Department of Ocean Biosphere Dynamics, we are looking to fill a position as Scientific Programmer (m/f/d) Biogeochemical Model
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wireless system. Analyse experimental measurements using MATLAB, Python or equivalent computational tools. Compare experimental measurements with modelling or theoretical predictions generated by the wider
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data) will help validate observations and refine predictive models. Automated monitoring tools (scripts, dashboards, alerts) incorporating machine learning algorithms or statistical methods will be
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following areas: mathematical optimisation, vehicle routing and scheduling, machine learning, reinforcement learning, logistics simulation, predictive analytics, or transport modelling. Strong programming
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biology, multiscale modeling, mathematical physiology, simulation, machine learning, artificial intelligence, human-computer interaction, data integration, and mathematical and predictive analytics to marry