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About the Opportunity Job Summary Develops and maintains financial models that support the university's budgeting, forecasting, and long-range planning efforts. Pulls and analyzes data across
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model of the product and its constituent parts. developing and maintaining 3D models of parts, assemblies, and overall product layouts; creating and maintaining large assemblies; establishing the product
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crash testing, numerical FEM modelling, post-impact 3D reconstruction, and predictive models based on Artificial Intelligence. Where to apply Website https://aunicalogin.polimi.it/aunicalogin
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, interpretation and progression of our in vivo work. You will design, execute and analyse studies spanning rodent disease models, electrophysiology, behavioural neuroscience and dose-ranging efficacy work, and will
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
geophysical modeling. A wide range of research is possible, from the analysis of existing lunar datasets, to the development of new modeling approaches, and to simulations of possible future measurements
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reservoir heterogeneity. This project will integrate core observations, wireline logs and seismic data to develop geological and petrophysical models that constrain reactive reservoir simulations
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of dissipation in magnonic systems. Develop theoretical models to describe and optimize the control of magnon dissipation via feedback. Collaborate with the experimental team to validate these models and propose
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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detection are necessary. This project develops watermarking methods and software for speech and audio generative models, focusing on robustness and suitability for open-source use. Your role and goals As a
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors