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Description --- Position Description: Drs. Furtado and Cavallo are recruiting a motivated undergraduate student, to begin in Spring 2026, who is interested in improving the prediction of atmospheric blocking
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includes the following tasks: Develop computer-aided design software for modular construction of switchable RNA nanostructures. Develop databases for RNA modules for automated building of atomistic models
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Universities of Tübingen and Hohenheim. The focus research unit brings together paleobiologists, earth scientists and earth system modelers who jointly aim to disentangle hydroclimate and enigmatic biodiversity
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advanced methods for data analysis and modeling, such as community detection and link prediction. Beyond direct research, the incumbent will assist in the mentorship and training of graduate and
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, aimed at uncovering the key traits that define successful microbial biofertilizers, and to develop predictive models that can guide the rational design of next-generation BioAg products tailored
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-guided) Evolutionary trajectory analysis and fitness landscape modeling Integration of predictive algorithms with experimental iteration cycles High-throughput screening and selection platform development
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reports to develop computational models that predict identification reliability. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and
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. Implements program analytics software tools, and runs predictive analysis and forecasting models in support of organizational goals. Uses of Python to conduct data analysis. Effectively translates data
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, or similar) will be valued; 9) Experience in machine learning techniques applied to materials science or process engineering (regression, classification, optimization, predictive models) will be valued; 10
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predictive models to quantify shrubification risk; and (iii) investigate the implications of shrubification for water markets and policy. Teaching & Engagement: Contribute to climate fluency and sustainability