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Field
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are software representations of physical assets, processes, or systems. They leverage real-time data to mirror the behaviour and characteristics of their physical counterparts, enabling predictive maintenance
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others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal
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data processing using ImageJ/Fiji or equivalent software. Knowledge of amphiphilic block copolymer self-assembly is highly desirable. Experience in integrating molecular catalysts, nanoparticles
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breeding program. This requires a Ph.D. with excellent knowledge and skills in drones / UAV / UAS data collection, processing, statistical analyses, AI (machine learning, deep learning) and subsequent
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 19 days ago
of the relationship between process-induced microstructural variability and mechanical performance. The broad vision of this work is to develop computational tools and frameworks that connect microstructure
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– in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in physics, optics, photonics, applied physics, electrical engineering, or a related discipline, earned no
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, including through the wider Amsterdam quantum ecosystem; taking a leading role in scientific publications, open and reusable research software, presentations and/or knowledge-transfer activities; helping
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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Posting Details (Default Section) Posting Number: 20260074F Position Title
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transmission to datacenter interconnects - we tackle real-world challenges at every scale. We’re a collaborative research team, where PhD students and postdocs work alongside senior scientists to shape
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, where PhD students and postdocs work alongside senior scientists to shape the future of photonics. About the research project The ERC Advanced Grant project ProSync aims to bridge the performance gap