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cardiovascular digital twin is a physics-based computer simulation that models an individual's health and disease states to aid decision-making. These high-fidelity models are often computationally expensive
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industrial clusters. This is a knowledge gap that needs to be addressed if we are to move towards a fossil fuel free chemical industry in the future. Your work will aim to explore new modeling strategies
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and knowledge. It is our mission to reduce the environmental impact of aviation, while improving safety and efficiency. You thrive on developing complex mathematical models and analysing simulations
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laundering and corruption. Harnessing system dynamics to capture the complexity and deep uncertainty, you will model basic structures of crime organisations. Your models will leverage limited available data
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Computer Science (EEMCS) invites applications for full-time doctoral candidates in the area of Data-driven Cybersecurity. Successful candidates will follow a data-driven approach by collecting and analyzing
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are looking for an outstanding and enthusiastic PhD candidate with focus on developing new methodologies for modeling and monitoring of wave impact loads on ship structures. In particular, the candidate is
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of countless lifeless molecular components. We do not understand how these interact to form a living cell that sustains itself, grows and divides. The BaSyC (‘Building a Synthetic Cell’) initiative is a
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to gain useful input. High-fidelity modelling, while still expensive, is considered more and more due to the continuous development of computational resources. The advent of GPUs, in particular, has
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successful candidate for this position, you will be directly involved in mathematical modeling and software development, processing and analyzing data, and reviewing scientific literature. You will actively
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. The Applied Probability research group within the Delft Institute of Applied Mathematics at TU Delft (see https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/applied-mathematics ) is offering a full-time