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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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ventricular tachycardia. Current clinical methods for mapping these circuits are invasive and often failing to capture the full circuit before the arrhythmia terminates. Mathematical models in the form
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engineering or related fields. Strong background in fluid mechanics, scientific computing, numerical methods, PDEs, and/or data-driven modeling Interest in interdisciplinary research and open science
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to develop constitutive laws within the framework of nonlinear viscoelasticity, first under small strains and then under large strains. In parallel with the modeling work, particular attention will be
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, Institute of Fundamental Technological Research, Polish Academy of Sciences (IPPT PAN). The position involves conducting research and research-and-development activities (experimental, numerical, and
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and the safety implications arising from these interacting processes. You will use and extend PyBaMM, which is an open-source Python-based battery modelling framework (https://pybamm.org
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, Mathematical Modeling, Operations Research, Data Science, Numerical Computing, etc; l Preferably under 35 years old. n Assistant Professor l Ph.D. in Mathematics; l Promising research trajectory and a well
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: Numerical modelling, Geotechnics, Finite Element Method (FEM), Research and development projects, Scientific achievements DESCRIPTION (subject-matter, expectations, remarks): Requirements for Candidate: PhD
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trips, plus an elective course. Examples of elective courses could include aqueous geochemistry, geomorphology, soils, glaciology, GIS, or numerical modeling. We are seeking candidates who can demonstrate
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: Applications accepted all year round Details Data assimilation combines physical models with experimental or numerical data to produce dynamically consistent flow reconstructions. In turbulence, where full