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years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Materials Science and Engineering (https://www.ntnu.edu/studies/phmt) within three months
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data science and material design into a research approach of data-driven membrane discovery that includes material space construction and exploration, candidate selection and verification, providing data
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application process here. About the position The Department of Mechanical and Industrial Engineering is seeking a motivated PhD candidate to join our materials and manufacturing (M&M) research team
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that you gain admission to the PhD programme in Materials Science and Engineering (https://www.ntnu.edu/studies/phmt) within three months of your employment contract start date, and that you participate
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
, it is a prerequisite that you gain admission to the PhD programme in Materials Science and Engineering (https://www.ntnu.edu/studies/phmt) within three months of your employment contract start date
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a considerable fraction of post-consumer scrap. The research will focus on microstructure and defect formation, how the outcome of these processes is affected by the inclusion of recycled material
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of reusable materials until the 1930s, and the majority of surgical masks were not disposable until the 1960s. One generation ago, the use of washable instead of disposable surgical drapes and reusable surgical
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-term research initiatives within aluminium materials, manufacturing technologies, and circular economy. The primary objective of FAST is to establish the scientific and technological knowledge base
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or PhD project: Develop and optimize microbial hydrolysis of feather and possibly other keratinous materials at different scale (100 mL, 3L, 42L, 100L). Perform vibrational spectroscopy analyses and
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initiatives within aluminium materials, manufacturing technologies, and circular economy. The primary objective of FAST is to establish the scientific and technological knowledge base required to enable