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MSCA Doctoral Network position “Electric solar wind sail mission design” We are now looking for two (2) Doctoral Researchers. This PhD topic is part of the “Electric solar wind sail doctors” (E
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in near future. Postdoctoral Researcher We are seeking a motivated candidate to join our team. The successful applicant will be involved in the design, fabrication, and testing of functional thin film
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We are seeking a motivated candidate to join our team. The successful applicant will be involved in the design, fabrication, and testing of functional thin film coatings. Key responsibilities include
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for established, changing and emerging fields of design. ( https://www.aalto.fi/en/department-of-design ). We are looking for a: Doctoral Researcher for a Finnish Academy funded project Experimenting with
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Material science research themes. The role will include designing and standardizing analytical pipelines, quantitative biodegradation assays to validate material-microbe interactions, and tracking polymer
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, how you could contribute to the research produced by the supervisor and research area, and other relevant information. Preliminary Research Plan (3-5 pages in length) which includes background
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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
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materials and device design concepts. Our current research focuses on developing AlN and high–Al-content AlGaN power devices using distributed polarization doping approaches for next-generation power
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from all backgrounds to join our community. The School of Engineering drives science and innovation in industrial and built environment technologies. We are committed to educating a new generation of
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development of uncertainty quantification techniques for the learnt