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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 12 days ago
and Objective: Tabular and Time-series foundational models have become very popular due to their high accuracy relying solely on In-Context Learning (ICL) [3, 4]. However, one still requires training
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innovations. The Pediatric Disease Modeling Lab (https://dbe.unibas.ch/en/research/data-driven-modelling-analysis/pediatric-disease-modeling-lab/) is seeking a Senior Scientist to help lead a growing research
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fleet can act as one Virtual Power Plant. Read more about the project and other participants here:https://aegis-dn.eu/ Your role: You will be working on “End-to-End Energy Modeling for Distributed AI
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animal trypanosomosis (AAT). The role combines quantitative epidemiology, mathematical modelling and field epidemiology. The post holder will undertake epidemiological and statistical analyses of field
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Postdoctoral Fellow to conduct research in the project
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models of the kidney-tumor system to enable surgeons to train in highly sophisticated assisted surgical techniques applied to partial nephrectomy (removal of cancerous tumors). These models are ultimately
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medicine at the University of Sheffield. This 42-month position is funded by the Engineering and Physical Sciences Research Council (EPSRC) as part of the pioneering project "Vascular Computational Modelling
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Engineering, University of Montpellier / CNRS). This position offers a multidisciplinary environment combining structural mechanics, numerical modeling, aerodynamics, and automation, in collaboration with LIRMM
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. The position will involve working with large regional and global datasets, developing and applying quantitative models, evaluating environmental and productivity outcomes, and supporting the design and analysis
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to learn new methods and domains and to transfer approaches across them. The role centers on developing modular, acquisition-aware AI foundation models and applying them to large-scale scientific and