46 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Cyprus University of Technology" positions at AALTO UNIVERSITY
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Macroscopic Quantum Optics (MQO) Group and Quantum
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Finance Network (NFN). We offer degree education at bachelor's, master's and doctoral levels. For more information, see https://www.aalto.fi/en/department-of-finance . The Department of Finance at Aalto
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of computational electromagnetics. Previous experience in nanofabrication or design of metasurfaces. Apply now via this link, at the latest by May 31st, 2026: https://metatune.webs.upv.es/jobs/ Where to apply
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, at the latest by May 31st, 2026: https://metatune.webs.upv.es/jobs/ Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408203/doctoral-position-a… Requirements Additional Information Work
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the people that create Aalto, now and in the future. We want to be an open community where equality and inclusion enable curiosity, innovation, and wellbeing. Great possibilities for competence development and
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at the forefront of research, development and teaching in sustainable biobased materials. As part of a sustainable future, many products in our living environment will increasingly utilize components derived from
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about living in Finland: https://www.aalto.fi/en/careers-at-aalto/for-international-staff . Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto About Finland Finland is a great
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, or CST Studio Suite. Solid knowledge of computational electromagnetics. Previous experience with design and fabrication of metasurfaces. Apply now via this link, at the latest by May 31st , 2026: https
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This position combines infrastructure building, method development, and hypothesis-driven research, offering the opportunity to shape a flagship biodegradation platform at the interface of Biotechnology and
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
predictive models for complex multi-physics dynamical systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development