45 developer-"https:" "https:" "https:" "Robert Gordon University" positions at AALTO UNIVERSITY
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research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future
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-dimensional inverse design, as well as develop practical expertise in prototyping and laboratory characterization. Go to the project webpage for more information What METATUNE Offers Work contract at Aalto is
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and design experts. We educate front-line design professionals and visionaries for established, changing and emerging fields of design. (Department of Design | Aalto University) University Lecturer
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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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visible research profile and research group within well-supported environments. In addition to developing an ambitious research agenda, the appointee will contribute to education in the field, including
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Biotechnology research at Aalto University. The lab will develop next-generation methods to evaluate, understand, and engineer biodegradation of polymers such as plastics, microplastics, and textile-derived
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material and excitation constraints at optical frequencies. The candidate will also develop practical expertise in prototype fabrication, experimental characterization, and quantitative validation
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
to develop machine learning-enabled approaches for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
from all backgrounds to join our community. The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches
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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