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in finite-element analysis Experience in medical image analysis and data processing Basic knowledge of and/or experience in AI-driven models The ability to manage multiple tasks effectively Excellent
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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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); using GenAI, for instance Large Language Models (LLMs) for the extraction and analysis of data as part of health research. Our offer a position for 18 months, with an extension to a total of four years
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) Developing deep learning pipelines for multilayer segmentation and nanoscale transistor classification from microscopy images; (b) Designing graph-based inference models capable of reconstructing higher-level
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, these flows remain poorly understood. As a result, even the most basic properties cannot be predicted reliably. For instance, the best available models over- or underestimate the measured pressure drop in a
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techniques from mathematical modelling, machine learning, uncertainty quantification, distributed decision-making, or other data-driven approaches. Your duties and responsibilities in this 4-year project
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innovations in mechano-driven cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic understanding of tissue growth and inform in vitro experiments? Then you
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methods approach, combining doctrinal legal research with data-driven, experimental and qualitative methods. Your job State ownership has been rediscovered across the EU for industrial policy purposes
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-owned enterprises and private undertakings. This interdisciplinary project follows a mixed methods approach, combining doctrinal legal research with data-driven, experimental and qualitative methods. Your
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Modelling To Support Systems-Based Pest Risk Management” Plant production in Europe is increasingly threatened by the emergence and spread of diverse plant pests, driven by factors such as global trade