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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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model biases, and identify sources of predictability. The project will involve; 1) rigorous interrogation of NOAA GFDL's CM4X simulation output with respect to coastal sea level variability and relevant
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to predict nitrogen (N) and phosphorous (P) excretion, and this was published by Fox et al. (2004). Further, those predictions were refined and improved and partition N and P excretion between urine and feces
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will focus specifically on investigating hillslope-riparian zone-stream connectivity at the reach-to-catchment scale for a better understanding and spatially distributed prediction of subsurface
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Postdoctoral Researcher (f_m_x) - Hydrology (advanced data analyses and innovative experimental w...
Helmholtz Association of German Research Centres | Potsdam, Ohio | United States | about 2 months agoconnectivity at the reach-to-catchment scale for a better understanding and spatially distributed prediction of subsurface stormflow (SSF). A novel experimental design is used to identify hillslope SSF and to
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prediction) Human-Like Robotics (humanoid robotics, co-bots, soft robotics, and/or wearable sensing skins/technologies) They will be responsible for applying theory and engineering techniques to the design
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Requisition Id 16704 Overview: We are seeking a Postdoctoral Research Associate who will focus on AI-enabled plant ecophysiology to improve mechanistic understanding and predictions of ecosystem
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Statistical and/or machine learning approaches to weather prediction Risk assessment and catastrophe modeling High-performance computing and large dataset manipulation The position involves close collaboration
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prediction Risk assessment and catastrophe modeling High-performance computing and large dataset manipulation The position involves close collaboration with industry partners in climate risk assessment
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. Investigates treatment-associated toxicities using clinical data to develop predictive risk models. Applies survival analysis techniques to evaluate long-term outcomes in diverse pediatric patient populations