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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
fields including health, agriculture and ecology, sustainable development. More information, please visit https://team.inria.fr/scool/projects Odalric-Ambrym Maillard is a permanent researcher at Inria. He
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an important entry point for data and models in the Metropolitan Region of Amsterdam. Where to apply Website https://www.academictransfer.com/en/jobs/357691/postdoc-micromacro-modelling
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Description Context Federated learning (FL) enables models to learn from distributed datasets across diverse clients (e.g., edge devices, hospitals, or industrial sites) while maintaining privacy [1]. A major
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teaching faculty to teach an undergraduate course, Machines that Create, an introductory yet comprehensive overview on Generative AI and Foundation Models, covering the methods and techniques driving modern
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specific to 3D models, based on 150 3D-modelled taluses belonging to five morphologically similar taxa: sheep, goats, alpine ibex, European roe deer and gazelles. These criteria will form the future
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at Cornell University is seeking a Postdoctoral Associate to advance research on maize and grass molecular diversity using genomic large language models (AI). The goal is to design nitrogen-efficient maize
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working time models, including options close to full-time (https://go.fzj.de/near-full-time ), allow you to tailor your working hours to suit your individual needs; PERSPECTIVE: After a 2-year fixed-term
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investigate HIV-induced vascular dysfunction and neuroAIDS molecular mechanisms using in vitro and in vivo (animal models) approaches. Specifically, the person will utilize HIV mouse models and HIV-1 infected
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Técnico (IST) Duration: 3 months Maximum Duration Including Renewals: 4 months Objectives The main objective of this scholarship is to support the development and application of an optimization model
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biophysical network models of The Virtual Brain (TVB) type, we aim to mechanistically explain patient heterogeneity and identify prognostic biomarkers. This is a high-impact, interdisciplinary project bridging