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Computational modeling of metal alloys using an Integrated Computational Materials Engineering (ICME) approach. Responsibilities: 60% Perform research on the microstructural evolution of metal alloys during
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow to conduct research on additive manufacturing of advanced structural alloys
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Website http://www.uniba.it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy OTHER Eligibility of fellows: country/ies of residence: Italy EUROPE
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to: mikhailzu@ariel.ac.il, subject: application PhD physics Application Materials Required: Further Info: https://www.ariel.ac.il/wp/physics/en/ Ariel University, Physics Dpt. Ariel 40700
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concerning magnetic materials and components used in medium-frequency power converters. In particular, the research activity will focus on advanced materials such as amorphous steels, nanocrystalline steels
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Developing a regime map for the roller compaction process School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof Agba Salman Application Deadline
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 11 hours ago
disciplines), to help design and deliver innovative, stackable courses leading to bachelor’s degrees in engineering with computing/AI; develop digital content, flipped classroom materials, assessments, and co
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 11 hours ago
across disciplines), to help design and deliver innovative, stackable courses leading to bachelor’s degrees in engineering with computing/AI; develop digital content, flipped classroom materials
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and Materials) and Tangi Aubert from the D3 department (Porous and Hybrid Materials). It is part of the ANR PriSci project, which brings together collaborators from ILM and CEA. During the thesis
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algorithms for estimating battery life • Development of algorithms based on AI techniques for optimizing the use of aerosol drug-delivery systems • Preparation of materials for knowledge transfer