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. This includes exploring the use of digital twins for bioreactors and deploying AI driven predictive models to improve optimisation, consistency and overall yield. The main focus for this role is to work with the
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conducting institutional surveys to developing predictive models, dashboards, and reports that support decision making across the University. Responsibilities include: Data Analysis and Reporting Collect
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. Read more about CEBE (https://villumfonden.dk/en/nyhed/billion-kroner-research-grant-accelerate-green-transition-built-environment). The transition from CO2 producing building materials to renewable, CO2
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develops predictive, multi-scale computational frameworks to guide sustainable microbial food production. By coupling data science with mechanistic models, this collaboration between universities, research
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the University of Porto (FEUP), under the scientific supervision of Professor Alexandre Ferreira. Grant duration: Initial duration of 3 months, with the predicted starting date in May 2026, on an exclusive basis
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: Initial duration of 6 months, with the predicted starting date in April 2026, on an exclusive basis eventually renewable but never exceeding the project duration. If it is not possible to ensure
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months, with the predicted starting date in april 2026, on an exclusive basis eventually renewable but never exceeding the project duration. If it is not possible to ensure the duration of 6 months
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$52,021-85,800/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies
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taken GC as a covarying factor that could modulate host responses to parasitism. In a near future, GC is expected to greatly impact the distribution and pathogenicity of parasites. Predicting
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the fields of fairway design, intelligent waterway engineering and autonomous shipping, handling of new fuels on ships and in ports, and AI-based predictive analytics for ensuring maritime safety. Enhancing