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managing diabetes using computer simulation models. Learning Objectives: You will learn: How to synthesize and translate empirical evidence on cost-effectiveness of interventions for the prevention and
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has a fixed-term opportunity for a Postdoctoral Fellow / Senior Research Fellow to contribute to world-leading research in continual learning, computer vision, multimodal foundation models, and
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Postdoctoral Fellow in Medical Image Segmentation and Multiphysics Modeling for MR-Guided Brain Hyperthermia - Radiation Oncology - (260000UP) Position Summary The Department of Radiation Oncology
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Center for Drug Evaluation and Research (CDER) | Jefferson, Arkansas | United States | about 2 months ago
. Two related projects are currently underway at NCTR investigating this compound. The first examines histological and molecular endpoints in a guinea pig model, while the second focuses on behavioral
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• Possess at least a PhD degree in relevant fields such as Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science, Electrical and Electronics Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence...
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15th July 2026 Languages English English English The Department of Natural History has a vacancy for a Postdoctoral Fellow in hologenomic/multi-omic modelling Apply for this job See advertisement
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Research Fellow in Geodynamic Modeling & Surface Processes Job No.: 693562 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration: $86,195
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9th August 2026 Languages English English English We are looking for a Postdoctoral Fellow in statistical modeling for genomic data Apply for this job See advertisement This is NTNU NTNU is a broad
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We are looking for an experienced researcher whose expertise lies in mechanistic cardiac electrophysiology modelling, to work with Prof. Gary Mirams and Prof. Simon Preston on an externally-funded
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Model Development: • Design and implement a hybrid physics-AI spatiotemporal modeling framework for translating satellite-derived Land Surface Temperature (LST) data into high-resolution ambient