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Consiglio Nazionale delle Ricerche-Istituto di Calcolo e Reti ad Alte Prestazioni | Napoli, Campania | Italy | 16 days ago
Naples to carry out the following scientific or technological research activity: “Artificial Intelligence for the Analysis of Clinical Signals and Data in Digital Medicine” as part of the project
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following activities: - quality control, processing, and interpretation of geotechnical data acquired from the installed monitoring instrumentation, with particular reference to piezometric level time
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without Centralized Training Data”, https://ai.googleblog.com/2017/04/federated-learning-collaborative.html [2] “Learning with Privacy at Scale”, https://machinelearning.apple.com/research/learning
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We are offering a three-year PhD fellowship in pharmaceutical data science focusing on database design for amorphous pharmaceuticals commencing 15 November 2026 or as soon as possible thereafter
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digital data storage, enabling the encoding of text, images, videos, and more into nucleotide sequences. While DNA data storage technologies are advancing rapidly, computation on large DNA-encoded
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algal partners, establishing cultures, and carrying out subsequent genome sequencing and data analysis Where to apply Website https://pica.cineca.it/ Requirements Additional Information Eligibility
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/ https://gen3.org
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multidisciplinary team—comprising an ecologist, an oceanographer, an atmospheric chemist, and a toxicologist—to interpret the resulting data. * Responsible for the preparation and smooth operation of
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University of California, San Diego | Estancia de San Diego, Guanajuato | Mexico | about 20 hours ago
Position overview Position title: Moore Postdoctoral Fellow Salary range: A reasonable salary range estimate for this position is $69,073 - $71,632. The posted UC academic salary scales ( https
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DETECTIVE DETECTIVE (Data driven Excellence in Training of Epidemiological, Clinical, Technological and Innovative Virus Experts) is an EU-funded MSCA training programme aimed at developing new, data-driven