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Field
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Intelligent (AI) systems. We design application-specific image sensors with AI for biomedical and industrial applications. We are looking for new graduate students or postdoctoral fellows to conduct research
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Your Job: JuPedSim https://jupedsim.org is a platform for simulating people flows, developed in C++ with a Python API and a C interface to SUMO https://eclipse.dev/sumo/ . A React-based web
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network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring the use of large language models to support neural network design and data preprocessing
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2021 Dec 10;478(23):4099-4118. doi:10.1042/BCJ20210508.Zaman et al. BioRxiv 2024; doi: https://doi.org/10.1101/2024.04.15.589474 ). In this PhD project, we will validate these molecules and interrogate
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-Leitfaden Formatvorlage“ und dem „Bewerbungs-Formblatt“ der Medizinischen Fakultät Mannheim der Universität Heidelberg siehe: https://www.umm.uni-heidelberg.de/karriere/berufung/ werden bis zum14. März 2026
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model surrogates using machine-learning methods to replace very time-intensive simulations. Design an efficient training strategy for these machine-learning tools, making use of existing model simulations
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communication systems for AI-driven applications. The objective is to investigate, design, and experimentally validate information-theoretically secure coding schemes tailored to the demanding requirements
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data-intensive applications. Researchers in this field design robust, scalable architectures and pipelines to transform raw data into reliable, accessible formats, leveraging techniques like real-time
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, test, and demonstrate resilience strategies that enhance ISAC system robustness against various types of jamming. You will design, implement, and analyze ISAC resilience strategies using advanced
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of the following areas: Digital radiology Generative AI for medical imaging Digital patient twin Data-driven therapy decisions and response monitoring Sustainability in healthcare: designing for circularity Medical