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primary duty of this position will be research within the subject area of lead-free piezo(electro)ceramic and electrochemical processes. The researcher will be responsible for designing and carrying out
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data (e.g., synchrotron X-ray microtomography), Design and use of autoencoders (VAEs, GANs), diffusion models, and other ML methods for analyzing and discovering patterns in probability distributions in
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collaboration with the Materials Design Division (also at IFM) and with the Computer Vision Laboratory at the Department of Electrical Engineering (ISY), a world-class research environment specializing in
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, or possibly design or cognitive science as main subject) and one at Tema Technology and Social Change, will collaborate to jointly reach the objectives of the project. You are expected to closely collaborate
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based separation of blood from animal experiments experience of 3D-design in Fusion 360 and 3D-manufacturing of microfluidic systems experience of statsitical assessment of clinical chemistry data
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of Industrial Engineering and Management is a broad, interdisciplinary subject that spans several sub-areas ranging from organization and management, innovation and entrepreneurship as well as industrial and
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) researches and develops knowledge about and innovative proposals for how planning processes can be further developed, and how both urban and built environments and buildings can be designed to better meet
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innovation. We believe that knowledge and new perspectives are best attained and reached together in collaboration with others – our colleagues, students, the private and public sectors, both nationally and
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combines: Fluid dynamics and heat transfer (theory and experiments), Computational modeling, and Machine learning / computer vision for data analysis and pattern recognition. The goal is to improve
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of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms