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About the Project As federated learning systems become increasingly embedded in high‑stakes domains where data cannot be directly shared, such as healthcare and finance, the ability to selectively
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generate the corresponding code. Exploring new approaches to the management and visualization of large volumes of data, especially in geospatial or real-time contexts. A duration of 12 months is estimated
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across disciplines An independent, self-motivated approach to research You'll gain skills spanning dynamical systems theory, data science, earthquake science, and soil ecology, working with large, real
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 20 days ago
deployment, · knowledge of GPU computing and large-scale training, · experience working in an HPC environment, · experience with data annotation pipelines or synthetic data generation. We offer: · work in a
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, and coalescence of smaller droplets, eventually generating droplets that are large enough to fall from the cloud under gravity. However, the turbulence within clouds is highly intermittent, due
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7 Apr 2026 Job Information Organisation/Company Paul Scherrer Institut Villigen Research Field Physics Chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
School (UMass Chan) develops and applies cutting-edge computational and big-data approaches to understand the genomics, epigenomics, and regulatory functions of noncoding RNAs in human disease. We develop
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scientists and has a large international network of collaborators. We seek committed candidates that can work focused and independently but that flourish in an international team having a strong, synergetic
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research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data Analytics and Management; (iii) Computer Vision and Pattern Recognition; and (iv
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1 Apr 2026 Job Information Organisation/Company Université de Poitiers Department UMR CNRS 7267 Research Field Biological sciences » Biodiversity Environmental science » Ecology Agricultural