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research • Deep learning and predictive modeling • Natural language processing and large language models for biomedical data • Drug response prediction and treatment optimization • Biomedical knowledge
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assisting with statistical analysis, predictive modeling, machine learning, and quantitative research projects using trusted enterprise data. Working within the Analytics & Innovation Incubator, the intern
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Institutional Data, Evaluation, Analytics, and Strategy (IDEAS) seeks a versatile data professional who translates advanced analytics and predictive modeling into scalable, actionable solutions for campus
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-friendly software tool, based on state-of-the-art machine learning models [1], that can predict the outcome of HFNC therapy in individual patients with higher accuracy than current clinical indices, early in
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residency is obtained. The work will produce validated physical understanding, automated rule extraction, and predictive design tools for high-speed, combustion-ready injectors, and seek understanding
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of faithfully reproducing the city behaviour through the use of advanced modelling, data science, and AI techniques. One of the key foreseen applications of Urban Digital Twins is to predict the evolution
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physically consistent predictions. You will contribute to models that link composition, processing, microstructure and properties, and support novel alloy and process design targeting key industrial challenges
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, and present data statistically to develop a prediction model, and manage own research and administrative activities. You will undertake comprehensive and systematic literature reviews, contribute
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modelling, combining ecological theory with modern, reproducible approaches to understand and predict biodiversity change. Based in Potsdam, Germany, immediately southwest of Berlin, the position offers
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, predictive modeling, machine learning, and quantitative research to trusted enterprise data. Working within the UNG NEST, the position develops analytical models and predictive insights that improve strategic