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computational electromagnetics and electromagnetic simulation techniques. Experience in AI-based RF transistor modelling is highly desirable. Solid knowledge of machine learning algorithms and their application
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/Administrative Internal Number: 25565 POSTDOCTORAL ASSOCIATE, McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, to develop computational circuit models, analytical theory, and
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of finite element modelling strategies (beam and continuum formulations) for the structural characterization of continuous fiber-reinforced additively manufactured prosthetic feet, with specific reference
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be embedded within Moderna's Clinical and Quantitative Pharmacology (CQP) function and will contribute to key modeling and simulation deliverables for drug candidates across early and late stages
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and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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. The lack of knowledge is related to the models that should be used to auralize UAM in urban environments: new models are needed to predict noise exposure in urban cities. Traditional aircraft noise studies
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, allowing timely corrective actions to be implemented. Furthermore, such models shall support the optimization of processes from an energy efficiency perspective. Where to apply Website https
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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 The goal of the research programme is the design of mathematical models
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. https://research.pasteur.fr/en/job/postdoctoral-positions-in-epidemic-mathematical-statistical-modelling