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Field
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, you will focus on developing mathematical models and numerical algorithms that systematically integrate uncertainties into the design process of optical systems. The goal is to enable novel design
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new approach has emerged that integrates data and mathematical models through neural networks. This has led to the development of a method for solving partial differential equations (PDEs) known as
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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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of repeatedly solving wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim
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evaluate statistical and machine learning models - Publish results in peer-reviewed journals Desired Qualifications - Master’s degree in statistics, mathematics, data science, bioinformatics, physics
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obtained) start your degree 31 March 2027 have an honours degree (First Class or Second Class – Division A) or masters degree with a research component in one of: biostatistics statistics mathematics
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impact. Furthermore, working at AMADE is not only a professional opportunity, but also being close to a stimulating environment with all our research lines in simulation and numerical modeling
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generative models of how human tissues develop, mature and regenerate, and of what goes wrong in disease, with a focus on child health. The group starts in January 2027. You will develop generative models
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degree in geosciences, physics, computer science, mathematics or related natural sciences Good programming skills, preferably in Python, Fortran or C++ Experience with geodynamic modelling software such as
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at the interface of biophysical modeling, soft matter and cell mechanobiology at the Groningen Research Institute of Pharmacy, within the Faculty of Science and Engineering at the University of Groningen. What