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response using large public datasets and modern predictive modeling Integrate CIN signatures with functional dependency resources to shortlist candidate vulnerabilities for validation Contribute to open
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the University of Oslo. Place of work is the Department of Mathematics at Blindern, Oslo. Ocean waves follow complex patterns influenced by wind, currents, and the shape of the seafloor. Predicting
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biotechnology tools • Cognitive neuroscience • Psychological and brain sciences • Medical • Biomedical • Nanofluidics and microfluidics • Biomimetics and biofilms • Social media analysis and predictive modeling
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in the prediction and modelling of extreme flood events? Do you want to understand how
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microfluidic analogs of phloem sieve plates and other plant hydraulic elements. Conduct controlled flow-pressure experiments to evaluate aspects of the theoretical predictions and quantify resistance mechanisms
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Estrees Mons, Picardie | France | about 2 months ago
controlled conditions (ecotron, growing rooms), whether within INRAE, locally or nationally, or with partners of the cross-border joint research unit BioEcoAgro. Where to apply Website https://jobs.inrae.fr/en
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fracture model to predict the macroscopic fracture energy from the bond-level dissipation and failure mechanisms experimentally observed in the process-zone. 4.Planned secondments Secondments will be decided
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to generate baseline datasets for calibrating and validating predictive models of biodiversity-rich forests. Using machine learning (ML) algorithms, the Research Assistant will help predict the occurrence
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smoking and tobacco use at all of its university-controlled properties. The UC San Diego Annual Security & Fire Safety Report is available online at: https://www.police.ucsd.edu/docs/annualclery.pdf
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comfort throughout the year in a Nordic climate? Is it possible to predict dynamic outdoor thermal comfort with sufficient accuracy using fast parametric algorithms and machine learning (ML) models instead