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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 13 days ago
multi-expert segmentation databases. The postdoctoral fellow will focus on integrating segmentation variability into deep learning models, with the goal of assessing prediction reliability and enabling
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About the Role A Postdoctoral Research Assistant (PDRA) is sought to join the musculoskeletal organ-chip research team within Queen Mary’s Centre for Predictive in vitro Models. This 23-month post
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(APC); model predictive control (MPC); digital twins and real-time process monitoring and control; process analytical technology (PAT); process intensification and sustainability. Where to apply Website
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Atmospheric Dynamics group in AOPP which looks at the role of dynamical processes globally in weather and climate variability, predictability and change. The role will involve detailed analysis and dynamical
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immune markers that predict successful vaccine boosting, and to reveal basic mechanism of vaccine boosting during B cell depleting therapy. You will be based in the immunology laboratories of Associate
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 1 day ago
, based on recent geophysical and geochemical models, and experiments quantifying the stability of organic matter that was likely to be present in the building blocks of these worlds. Our group is
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and consider the hybridization as a mechanism enhancing this response. Up to now, hybridization has never been incorporated into the predictive models and little is known about the implications
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oceanography. The position is part of the EU-project EPOC (Explaining and Predicting the Ocean Conveyor) and will address Greenland-Scotland Ridge exchanges with a focus on Iceland-Faroe overflow and transport
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SPECIFICS Postdoctoral Researcher in Defect Modeling The Pennsylvania State University Department of Nuclear Engineering The Computational Nuclear Materials Group (https://sites.psu.edu/cnmg/ ) at Penn State
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) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation