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to unlock the mysteries connecting TGFs, FGFs, glows, and lightning discharges through modeling and analysis of data from the groundbreaking ALOFT flight campaign. Our group's recent publications revealed
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Université Paris-Saclay GS Biosphera - Biologie, Société, Ecologie & Environnement, Ressources, Agriculture & Alimentation | Gif sur Yvette, le de France | France | 9 days ago
an integrative multi-omics approach, combining phenotypic, transcriptomic, epigenomic, and genomic data. The project is based on a robust model system centered on Malus sylvestris, one of the wild progenitors
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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a distributed energy optimization local controllers leading to the grid edge conceptual
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Management Maintain and organize large, multi-modal imaging datasets (EUS, MRI, and associated clinical data). Ensure accurate data tracking, naming consistency, and version control across storage systems
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are seeking a postdoctoral fellow to join a new research group focused on integrating remote sensing with ecosystem modeling, biogeography and biodiversity science. The successful applicant will have a
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position with the possibility of renewal. Continuation beyond one year will be based on performance and availability of funding. Application Window Open date: March 19, 2026 Most recent review date: Thursday
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. Designs and implements automated reporting tools; supports data-informed decision-making. Creates and maintains dashboards and advanced Excel-based models. Collaborates with IT and central offices
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research projects will be considered.) Technical expertise in machine learning and model fine-tuning – 10% Demonstrated experience with neural network training, loss function design, embedding-based models
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Assistant Director, Treasury Planning (Hybrid) - Financial Services - Treasury Planning & Operations
, modeling, issuance, compliance, credit strategy, and management of the Internal Bank. Treasury maintains a collaborative and productive relationship with the WashU Investment Management Company (“WashU IMC
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comparing supervised and unsupervised methods (e.g., regularized regression, tree-based models, ensemble methods, clustering, dimensionality reduction) and deep learning approaches Developing and applying