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Field
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-driven model selection, and deep learning for data analysis and feature extraction from characterisation data. Surrogate modelling will be employed to reduce computational costs, and AI-based uncertainty
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, biophysics, and materials science. In this PhD project, you will: § Develop an experimental platform to study 3D self-organization of active particles. § Fabricate and characterize light-driven microswimmers
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), Computer Science (Machine learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development
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‑Focused Careers – HetSys graduates are equipped with highly sought‑after skills in modelling, simulation, and data science, preparing them for impactful careers in research, technology, and beyond
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and a genuine interest in applying AI to real-world healthcare challenges are required. Prior experience integrating Large Language Models (LLMs) into applications, including prompt engineering, API
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22 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Informatics Computer science » Programming Researcher Profile First Stage
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Quantum Computing for Power Systems Security At the Institute of Climate and Energy Systems Engineering (ICE-1), we
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. The main activities include: Designing machine learning models that can detect unusual, unsafe, or attacked operating conditions. Developing data-driven models that capture how faults and attacks spread
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empirically test a Three-Channel Interview Assessment Model combining: verifiable attributes such as qualifications, work samples and assessed skills; self-reported information such as experience, motivations
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concepts across domains (geology & engineering & data science). Problem-driven innovation: Creativity oriented toward practical engineering outcomes developing tools and workflows that improve safety