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8 Apr 2026 Job Information Organisation/Company SWPS University Research Field Psychological sciences » Psychology Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application
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Economics » Transport economics Economics » Valuation Economics » Veterinary economics Educational sciences » Education Educational sciences » Learning studies Educational sciences » Research methodology
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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract
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of the successful candidate. (1) Develop multisource, frugal downscaling approaches. Most downscaling approaches presented in the scientific literature are Machine Learning (ML)-based. The proposing team's experience
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Neutral Infrastructure (dfCO2), this role contributes to Program 4: Machine Learning for Carbon Performance (https://dfco2.org.au/program_4 ) that aims to advance the next‑generation AI methods to model
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, multilevel analysis). Knowledge in developing predictive and forecasting models in health or environmental research. Skills in machine learning or AI techniques for prediction of complex outcomes. Experience
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medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal
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) to integrate advanced AI/ML techniques into the RWE generation pipeline. Requirements PhD degree in Epidemiology, Data Science, Statistics, Computer Science, Informatics or related disciplines. Preferably
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Data Scientist (Artificial Intelligence). We now invite applications for the captioned post. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models
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Department Name 81080:ENTOMOLOGY Work Location Lexington, KY Type of Position Faculty Position Time Status Full-Time Tenure Track Status Tenure Track Required Education PhD in Entomology or a related