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duration: Initial duration of 6 months, with the predicted starting date in February 2026, on an exclusive basis eventually renewable but never exceeding the project duration. If it is not possible to ensure
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of Professor Adélio Miguel Magalhães Mendes. Grant duration: Initial duration of 3 months, with the predicted starting date in February 2026, on an exclusive basis eventually renewable but never exceeding
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description CRSA - Postdoctoral research fellowship: “Developing Advanced Weather Prediction Models for Agricultural
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selectivity and permeability and ultrahigh water permeability combined with high salt rejection. The objective of this work is to construct atomistic models of MOFs/Polymers and Artificial Water-Channel
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, surveys, faculty research, and business intelligence programs. Provides strategic direction for dashboards and predictive modeling, empowering leadership with real-time insights and key performance metrics
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, robustness, and generalizability of the proposed models. The research aims to advance intelligent and reliable prediction, diagnosis, monitoring, and performance assessment of metal additive manufacturing
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 23 days ago
, development, and training of machine learning and deep learning algorithms. Creation of accurate, robust, and energy-efficient models. Development of systems capable of predicting and making decisions in real
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a passionate community collectively aiming to bring novel technologies and science to cutting-edge numerical weather prediction. ECMWF has been the first operational weather centre globally to
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Monitoring Duties & Responsibilities: Build early warning and clinical deterioration prediction models Develop continuous clinical risk trajectory modeling frameworks Model time-series data such as vitals
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the specific characteristics of viscoelastic fluid models, which will provide a dataset for training the tensor-based neural network (TBNN). Subsequently, the TBNN model will be tested on deformation protocols