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Field
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range of topics in numerical analysis and applied mathematics, including: Approximation Theory & Numerical Integration Mathematics for Data Science & AI Combinatorial Optimization Stochastics
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relaxations of the underlying PDE constraints can effectively reduce the nonlinearity of the inverse problem. Understanding this requires mathematical analysis of the PDEs and the resulting inverse problems, as
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whether suitable relaxations of the underlying PDE constraints can effectively reduce the nonlinearity of the inverse problem. Understanding this requires mathematical analysis of the PDEs and the resulting
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systems. The mathematical disciplines involved are mathematical modeling, numerical analysis, and scientific computing. Your tasks will involve: Conducting research on uncertainty quantification in
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directions include: ● Generative models of cell–cell communication . Move beyond descriptive ligand–receptor analysis to models that predict and help understand how cells react to signaling cues. ● Joint
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a stimulating scientific environment, with research focusing on Algebra, Geometry and Mathematical Physics; Analysis; Stochastics; and Discrete Mathematics and Quantum Information. The institute also
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position: Experience of modelling energy systems, particularly at the national level. Experience of optimisation modelling and/or other mathematical models. Experience in scenario analysis, related
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to your work duties after employment. Required selection criteria You must have a relevant Master's degree in mathematical sciences or equivalent, in particular computational mathematics, numerical analysis
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Science, Applied Mathematics or related fields, legally valid and/or recognized in Portugal and complying with the following specific requirements: a) Experience in the application of data analysis and
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you excited about developing new mathematical foundations for energy