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experimental testing of the predictions from the computational model of religious decision-making in cooperation with the Principal Investigator, Dr. Martin Lang and another postdoctoral researcher with skills
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large dataset of P. aeruginosa genomes and experimental metadata to predict key mutations to the organism. The postdoctoral researcher will join the Whelan lab led by Dr. Fiona Whelan. The Whelan lab is a
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modeling, machine learning, or data-driven prediction methods applied to environmental datasets. Experience building and maintaining large, frequently updated archives of weather or climate observations
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underwater acoustics and marine ecology. CMST pioneers innovative methods to monitor and manage marine environments. We measure, monitor, model, and predict anthropogenic noise. We are experts in sound
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, regulatory, or multimodal biological data. Support target and mechanism prioritization by integrating model predictions with biological knowledge and external data sources. Work closely with academic partner
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tools, such as physics-informed climate and weather predictive models, and trustworthy datasets for training and analysis. Its work aims to improve prediction capabilities and understanding of climate
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: (1) automated reconstruction of a visual and geometrical 4D Digital Twin based on visual computing; (2) usage of information from digital imaging techniques for estimation and prediction of current and
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, regulatory, or multimodal biological data. Support target and mechanism prioritization by integrating model predictions with biological knowledge and external data sources. Work closely with academic partner
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: you will divide your time in equal shares between teaching GISc at bachelor and master levels, and advancing research about the integration of statistical movement models with predictive simulation
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predictive analytics. Identifies and investigates significant differences or anomalies in data. Uses appropriate quantitative and qualitative analysis to analyze survey data. Conducts longitudinal analysis and