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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 3 months ago
intelligence-based prediction models in healthcare: a scoping review. npj Digit. Med. 2022, 5:2. https://doi.org/10.1038/s41746-021-00549-7 Hassan, N., Slight, R., Morgan, G, Bates, D.W., Gallier, S., Sapey, E
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forces—such as those predicted by physics beyond the Standard Model. Distant, coupled microwave optomechanical systems can also be utilized for quantum information transmission. In this project, two
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Identification and classification of coherent flow structures in the plasma of the Sun’s photosphere
predicting the solar magnetic activity is crucial for the prevention of possible negative mpacts of this activity on life on Earth. That is the focus of Space Weather Research. So far, the mechanism
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data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties
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-package of the ChiExCo program, which aims to develop a reliable computational protocol to predict, for organic chromophores, both chirality quantifying factors (gabs and glum) resulting from excitonic
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 13 days ago
intelligence is growing at a fast pace, the bulk of the world's computing power remains targeted at modeling and predicting physical phenomena, such as climate models, weather forecasting, or nuclear physics
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an import element in the prediction of reactor-scale operational scenarios providing compatibility to both, required heat and particle exhaust constraints and good fusion plasma core performance. Given
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | about 2 months ago
? No Offer Description Scientific overview: This PhD thesis aims at studying the impacts of climate change-induced permafrost thaw in the Arctic, by using advanced thermo-hydro-mechanical (THM) modelling
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The Doctoral Candidate will: Perform numerical modelling of the three NDE techniques to evaluate the influence of relevant material property gradients on each NDE observable generating a sizable synthetic
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with a strong background in machine learning and LLMs, computer science, and modeling. The candidate will join the project “AI-driven predictive maintenance for buildings: Einar Mattsson (EM) - KTH