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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD position - "Smart preparation of air pollutant satellite retrievals for optimizing emission inventory data" within the HDS-LEE
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agreement: §48 VwGr. A2 Reference no.: 6005 We are looking for outstanding scientists who are active in the development of mathematical models or numerical methods in partial differential equations, in
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
(or surrogate models) are approximations of classical numerical solvers with a very low computational cost. They form the core of a digital twin. Using machine learning techniques to build these meta-models
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. A2 Reference no.: 6005 The position We are looking for outstanding scientists who are active in the development of mathematical models or numerical methods in partial differential equations, in
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in the development of mathematical models or numerical methods in partial differential equations, in connection with uncertainty or data science. Specific fields of interest include, but are not
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). Printed Material Characterization (MatC). Numerical Modeling (NM). Geometry Optimization (GO). Structural Health Monitoring (SHM). Closure of the project (C). Phase(s) for which the offer is intended: 2
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expression and purification pipelines to yield high-quality, stable viral and host targets. Optimizing and evaluating biochemical small-molecule library screening assays using purified protein targets
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, create content and optimize open rate and click throughs for monthly newsletters, develop a strategic social media plan across numerous platforms and post social media content to assist cancer control
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collections of over 500 databases and more than two million e-Books. The library is the home of the university archives and the university art collection, as well as numerous other special collections. In
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for outstanding scientists who are active in the development of mathematical models or numerical methods in partial differential equations, in connection with uncertainty or data science. Specific fields