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applications towards materials science. Generative machine learning models have emerged as a prominent approach to AI, with impressive performance in many application domains, including materials discovery
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B.Sc. degree in physics, material science, electrical engineering or a related field. Experience in semiconductor processing in a cleanroom environment and electrical device characterization is
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sustainable future through materials science. Read more: https://wise-materials.org All early-stage researchers recruited into the WISE program will be a part of the WISE Graduate School https://wise
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Electrical/Electronic Engineering, Materials Science, Nanotechnology, Microelectronics or a related field -Hands-on experience or strong knowledge of micro/nano-fabrication techniques (e.g., laser direct
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This is a broad call for five fully-funded PhD positions in computer science and engineering to work on machine learning, autonomous systems, software engineering, formal methods, and network
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chemistry, materials chemistry, inorganic and structural chemistry and organic chemistry. The research projects are many from theory to experiment, from basic research to more applied projects often focusing
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Architecture, Media, and Material Practice , part of the division of Architectural Theory and Methods at the Department of Architecture and Civil Engineering (ACE). Our work explores how emerging digital media
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description The subject of Energy and Environmental Engineering is built up and developed by the research in the research specialisation of Future Energy. This research programme is mainly technologically
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of Informatics. The project involves in-depth collaboration with Vakin as an external party to the project, Vakin's mission is to deliver drinking water, clean wastewater and take care of household waste resources
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level in energy technology with a focus on thermal process chemistry, the applicant is required to have completed course requirements of at least 120 credits in the field of the doctoral program or other