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Sharing – Building a federated data space to enable responsible data integration and cross-project learning. AI & Modelling – Using shared data to power advanced models that help describe and predict
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., Pettersson, H., Behrens, A., Männik A., 2018. Comparing a 41-year model hindcast with decades of wave measurements from the Baltic Sea. Ocean Engineering, 152, 57–71. https://doi.org/10.1016/j.oceaneng
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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Modeling, Analysis & Prediction of Particle-laden Real-Gas Supersonic Turbulence. (Ref. 10267290001)
Description Mission: Carry out the modeling, analysis and prediction of real gas supersonic turbulence. Fuctions to be developed: Develop tools to aid analysis. Perform experimental and computational analyses
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Integrated 3D Surface and Below-Surface Models”, ref. 3DURBs/I&D+i/IPLeiria/2025, financed by IPLeiria in the following terms: . SCIENTIFIC AREA: Civil Engineering, Territory Planning and Management
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Knowledge of MLOps concepts, including dataset ops, training pipelines, evaluation frameworks, deployment and monitoring. Understanding of deep learning fundamentals and hands-on experience with model
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. Adaptation of pre-trained models for the detection of specific groups of proteins Where to apply Website https://campusvirtual.unican.es/coie/AgenciaColocacion/Ofertas/Detalle/4718?lan… Requirements Research
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a closely related field with a focus on agricultural systems Solid knowledge of crop modelling and/or data-driven approaches for agricultural decision support Robust experience with Python Proven
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). You have background knowledge in computational chemistry or materials physics, especially in modeling battery cathode materials, oxygen release, or defect/vacancy formation. You have experience with
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business problem scoping to deployment and monitoring of production-grade models-with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and