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estimation). They have however been developed and tested using mostly simulated HydroGNSS data, or data from past GNSS-R missions, and as such they may be sub-optimal when applied to real HydroGNSS data
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perform a prospective trial at the Dutch Breast Cancer Screening Program to determine the impact on screening performance when optimizing the radiologist’s interpretation. This trial will involve two
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will provide fundamental insights that help optimize chemical recycling processes, bringing Europe one step closer to a truly circular plastics economy. This PhD project is part of a national research
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are looking for! Information We invite highly motivated students with a strong background in mathematical systems and control theory, and optimization to apply for the PhD position within the Dynamics and
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28 Oct 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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Netherlands Application Deadline 1 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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computational and experimental techniques in a high-tech industrial-academic setting. Develop constitutive material models tailored to recycled aluminum sheet forming, and implement them within commercial FE
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Netherlands Application Deadline 15 Nov 2025 - 22:59 (UTC) Type of Contract Permanent Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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Design and optimize epitaxial layerstacks for lasers and modulators to meet target performance Execute epitaxy process steps as part of full PIC fabrication flows in collaboration with process
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University Medical Center Utrecht (UMC Utrecht); yesterday published | Netherlands | about 1 month ago
fundamental methods research to guide in these analytical challenges. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant