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Field
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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
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prediction approach for pennycress and winter camelina improvement. Post-Doctoral Associates conduct research and/or services that provide further development of career skills or allow them opportunities
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at two levels: SAACD Component: This is a UAV made up of hardware and software sub-systems, capable of observing, predicting, deciding and reconfiguring itself to fulfil its mission (e.g. surveillance
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knowledge representation • Agent-based and simulation modeling • AI/ML, foundation models, causal inference, and predictive analytics • Human factors, behavior science, and patient-centered design • Advanced
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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analysis expertise Predictive modeling Requires successful completion of a background check Qualified candidates may be requested to complete a pre-employment physical, including a drug screen Additional
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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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, 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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Responsibilities Research & Technical Development – 35% Develop, test, and deploy AI/ML models for: Flood forecasting (nowcasting and short-term prediction) Rainfall estimation and downscaling Remote-sensing fusion
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of the SU(N) Fermi-Hubbard model and its low-temperature phases at the microscopic level. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1003