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to be addressed. Matrix completion methods have proved to be efficient when reconstructing a non fully observed data. These methods can be applied to complete or predict links in a network. However
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practical part, related to the effective computation of the data and numerical simulation. Where to apply Website https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhancing-mathe… Requirements
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component based on the systemic study of stochastic models with Hermite random perturbation and also with a significant practical part, related to the effective computation of the data and numerical
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government partners, we conduct cutting-edge research on paper-coating technologies using aqueous spray-coating methods to address emerging challenges in food and healthcare packaging. We are seeking a highly
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to completion of) a PhD/DPhil in geotechnical engineering, along with experience in numerical methods, including the implementation of soil constitutive models in finite element code. You should have excellent
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to teaching Opportunity to apply for own funding Your profile PhD degree in developmental-/ cell biology, biochemistry, or related disciplines Must have strong experience with at least two of the methods
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physics, etc. Proficiency in Python or other scientific programming languages. Programming skills in numerical methods for image processing and AI/ML methods for quality improvement are advantageous
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structure of magnetized fluid models as well as an understanding of the physics behind such models. A prior knowledge of matrix hydrodynamics and structure-preserving numerical methods. You will need strong
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 20 days ago
with a possible extension) on medical Imaging and Artificial Intelligence. Main Activities • Propose methods for intracranial aneurysms detection and vascular tree characterization (based on Deep
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following