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LMPS - CNRS - CentraleSupélec - ENS Paris-Saclay | Gif sur Yvette, le de France | France | 6 days ago
amplitude. To robustly and efficiently model the point contact between the strands of adjacent layers, a beam-to-beam contact model operating in the regime of large rotations and small sliding was developed
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can be found at: https://www.kcl.ac.uk/mathematics About the role Applications are invited for a Lectureship in Applied Mathematics with a focus on quantitative modelling in the Department
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) and a global ocean model (NEMO). The selected candidate will contribute to the ANR-AIAI project (https://anr-aiai.github.io ). Scientific Context The melting of Antarctic ice shelves by the ocean is a
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charging) Predictive charging planning algorithms Railway Smart Pricing models Techno-economic evaluation versus the traditional catenary model This is applied research with validation in simulated
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, seeks to recruit a junior research scientist to develop AI-enabled healthcare applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based
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Modelling the Dynamic Development of Expertise: Integrating Practice, Ability, and Individual Differences School of Psychology PhD Research Project Self Funded Dr Nemanja Vaci, Prof M Bilalic
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animal disease modeling, including small and large animal platforms. The Research Specialist will contribute to the design, execution and optimization of preclinical research projects within
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Completing the development agreement with objectives in research, teaching and administration Independent research and publication activities in the field of modeling and numerical methods in medical
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/124 Research Project: SMART-CM, Simulation and Advanced Modelling of Thromboembolic Risk The successful candidate will work within the framework of the SMART-CM project, as part of a research training
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and image analysis within the project, responsible for designing and iterating on machine learning architectures, managing training pipelines and datasets, and optimizing models for deployment across