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ultrasound, Laboratoire d'imagerie Biomedical, LIB , https://www.lib.upmc.fr/ ) and nanoparticle engineering ( PHENIX Laboratory https://phenix.cnrs.fr/ ). The LIB is located in the Centre de Recherche des
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reservoir characterization and satellite radar interferometry. The postdoc should contribute to and collaborate with other group members on multi-disciplinary research problems in induced seismicity
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, to join our team! We are located at the Department of Biomedical Informatics (https://www.chiragjpgroup.org/members.html ), Harvard Medical School, with affiliations with the Harvard Data Science Institute
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 1 month ago
appliqués en films, avec ou sans pigment, afin de suivre leur évolution au cours du temps. Leur composition moléculaire sera précisée par une approche multi-spectroscopique (RMN, RPE, FTIR). La relaxométrie
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combines research-oriented bioinformatics with scientific pipeline and software development. The selected candidate will contribute to analyses of large-scale genomics datasets and support the development
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characterization at large scales using both LiDAR and RGB/multispectral data. High resolution vegetation mapping using Lidar and Satellite Imagery. Participation in the construction of Multi-Layer Digital Twin
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$60M+ enterprise; Develops and communicates long-range financial plans, multi-year forecasting models, and strategic budget frameworks that align with institutional priorities and support sustainable
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reasoning and task planning - Multi-agent collaborative decision-making for autonomous missions in complex, large-scale environments Duties The duties of a Postdoc primarily comprise research. You will
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this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t24-b.pdf . The current full-time base salary range for this position is $55,000 - 194,800. 'Off-scale
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more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By