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learning, or related quantitative field. • Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow, and JAX). • Experience in PDE/ODE modeling and numerical methods. • Strong interest in
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: Physical analysis of fluid dynamics, advanced skills in programming and numerical methods, writing scientific reports and articles, presenting at scientific conferences. Behavioural skills : Independence
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at the intersection of numerical linear algebra and advanced HPC. The candidate will join an international environment, with opportunities to collaborate with experts from the USA, and KAUST and publish in top-tier
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essential in numerous everyday applications such as lighting, displays, and detection systems. A current challenge is to develop multifunctional, stimulusresponsive materials capable of meeting various needs
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focused on analysis or numerical methods for non-linear partial differential equations. The target applications include modelling of ecosystems, e.g. spreading of forest diseases and alien invasive species
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associate will conduct theoretical studies and numerical simulations, develop new methods and algorithms, and mentoring junior group members. Physical Demands and Working Conditions Physical Activities
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; - Characterizing blister dimensions using AFM and SEM, as well as the strain transferred to 2D materials using spectroscopy (Raman); - Implementing analytical and numerical (finite-element) approaches to analyze
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We invite applications for a NIH-funded postdoctoral researcher position in our computational lab at UMass Chan Medical School. We develop methods to reconstruct multi-modal, condition-dependent
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objective is to develop artificial intelligence methods that complement modeling techniques, particularly at the atomic scale, specific to the physical chemistry of materials. In this context
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the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology, including advanced imaging and related analysis Experience in the performance of high pressure