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and stable?- How do models perform on heterogeneous data (e.g., federated or personalized learning)?- Can smaller, energy-efficient models achieve strong performance on specialized tasks?Position
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elicitation. Integrated in an international team of collaborators (CCMAR PT, CNRS FR, GEOMAR DE & NORD NO), combining expertise in kelp cultivation, defense elicitation, the kelp microbiome, ‘omics and
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friction models. Integrating Experimental Data: Collaborate with experimental teams to incorporate data from calcium imaging, confocal microscopy, and high-resolution video recordings. Use experimental data
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of funding. Unit/Department Summary https://www.uidaho.edu/cnr/departments/forest-rangeland-and-fire-sciences Administrative Summary Contingency Description This faculty appointment is contingent on funding
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collaborators. You will specifically engage with and travel to the French National Centre for Scientific Research (CNRS) at Orsay in France to use the world-renowned JANNuS in-situ/ex-situ ion irradiation
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This project will investigate artificial intelligence (AI) to improve weather forecasts and use crop models for making better farming decisions. The expected outcome is protocols for integrating AI
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, USA. and many other countries. Additional binational support is made possible by the CNRS in France and the DAAD and the Alexander von Humboldt Foundation in Germany. Course organisation The research