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the flexibility and power of NNs with the ability of LMMs to robustly learn from structured and noisy (non i.i.d.) data, applying them on the prediction of both plants and human phenotypes. These models will
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Announcement - Mohammed VI Polytechnic University (UM6P), AgroBioSciences (AgBS) Job Title: Post-Doctoral in Modeling and Crop Yield Prediction in Africa Area of specialization: Agronomy, Modeling, biostatistics
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will contribute to the development of a new simulation-based pre-training framework for building more robust and trustworthy machine learning-based clinical prediction models. Funded by the Medical
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to the Carefree Models Project , a large-scale initiative aimed at improving the resilience, efficiency, and sustainability of predictive models in process industries. Information Predictive models are central to
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and trustworthy machine learning-based clinical prediction models. Funded by the Medical Research Council (MRC) and the National Institute for Health and Care Research (NIHR), the project aims
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machine learning models that predict soil health and crop performance. The position will exploit datasets integrating biochemical and molecular soil parameters (with a focus on microbiome features from
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Position Details Position Information Internal Posting? Posting Number SP005013P Position Title Postdoctoral Research Associate, Predictive Modeling for Mental Health Outcomes Division/College
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part of the European project ULTRABAT (BATTERY2030+), you will be responsible for modeling the NMR parameters of lithium ions in and at the interface of battery cathode materials. The ULTRABAT project
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related to staff position within a Research Infrastructure? No Offer Description Call for Postdoctoral Researchers in Artificial Intelligence (AI) – Focus on Large Language Models (LLMs) for Predictive
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on creating and optimizing state-of-charge (SOC) and state-of-health (SOH) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities