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learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical settings
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: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
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cutting-edge multimodal deep learning models that integrate imaging and clinical data to personalize treatment and follow-up strategies. In the Netherlands, around 75% of patients with an abdominal aortic
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models aligned with EU Packaging and Packaging Waste Regulation (PPWR) targets. Your role Work primarily at FIP-AM@UT, applying advanced computational and experimental techniques in a high-tech industrial
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description
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Vacancies Postdoc position on Data enhanced physical reduced order Models Key takeaways The position is embedded into a large-scale effort between academic groups in the Netherlands and industrial
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Vacancies PhD positions (3x) on RF/Microwave Gallium Nitride (GaN) MMIC design and test Key takeaways Gallium Nitride: covering the entire chain from device modelling and characterisation, MMIC
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Vacancies PhD position in Numerical Modeling of Thermo-Mechanical Effects for High-Performance Mechatronics Key takeaways A PhD position is available at the chair of Precision Engineering at
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behavior, resolver interactions, and dependency modeling. This project builds on ongoing collaborations with both national and international partners, including SIDN and TNO in the Netherlands, CAIDA in
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well as their cleanroom fabrication by silicon micromachining will be investigated. The main challenges are (1) the design and modelling of new sensor topologies, (2) development of the MEMS fabrication processes, (3