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8 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Computer hardware Computer science » Digital systems Engineering
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meter with a non-insulating pipe wall. The research will use existing MHD direct numerical simulations to investigate the flow physics. You will also construct a prototype to test the performance using
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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to investigate the flow physics. You will also construct a prototype to test the performance using an in-house 3T magnet. The turbulent pipe flow will be characterized using modern optical methods, over a large
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in vitro systems (somatic embryogenesis, microspore embryogenesis). We have a strong interest in transcriptional regulation of these developmental processes. You will work here The Plant Regeneration
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, Biomedical Sciences, Molecular Sciences, Nanobiology). Experience with the basal transcription process, DNA damage response or with live cell imaging and microscopic data analysis is an advantage but not
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image As PhD candidate in the project you will explore how ceramic-making relates to histories of violence and displacement, while also fostering new forms of belonging and ownership. The project focuses
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Unravel the complexity of valve disease in heart failure using Digital Twin technology. Help transform how cardiologists decide when and how to treat patients through personalized computer
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difficult pasts and heritage. Exploring craft, memory, and displacement through text and image As PhD candidate in the project you will explore how ceramic-making relates to histories of violence and
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for efficient imaging of biological objects at molecular resolution. Job description Femto-Cryo project is a Topconsortium voor Kennis and Innovatie (TKI) project in a public-private partnership (PPP) scheme in