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Field
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including applications to biology , condensed matter analogues of axions , Condensed matter theory , Cosmology , General relativity , Phenomenology , Physics Beyond the Standard Model , Physics of cold atoms
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execution models towards designing the next-generation unified cloud stack. CloudNG has a strong emphasis on performance and performance predictability, sustainability, seamless accelerator integration, and
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clear, auditable explanations of assessments and predictions, ensuring analysts and operators understand model outputs in time-sensitive security scenarios. Real-time intelligence fusion and rapid
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real-world environments, fine-tuning AI models to classify qualitative data, and building generative AI pipelines to process multimodal data for downstream analysis. Applicants with experience in some
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about the position, please contact: Ioana M. Ilie, Assistant Professor i.m.ilie@uva.nl Where to apply Website https://www.academictransfer.com/en/jobs/357772/postdoc-in-coarse-grained-model… Requirements
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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, particularly in the area of time series modelling, analysis, and interpretation of temporal variations Preparation of publications and conference presentations Analyzing regional patterns in Terrestrial Water
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their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in
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contribute to a major research project to improve our understanding of macroplastic pollution in coastal seas. Working at the intersection of numerical modelling and observations, you will develop simulations