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to work in a project related to the develpment of metal-organic frameworks for water applications, involving materials synthesis and advanced structural analysis. We are at the Materials Science Institute
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are seeking a PhD candidate to contribute to the design of a multi-dimensional framework for planning sustainable metal production and use pathways. Key Responsibilities Develop life cycle assessment and techno
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Description The Networks Data Science group (http://nds.networks.imdea.org/ ) at IMDEA Networks Institute has an opening for one PhD student in the area of mobile network traffic analysis. The successful
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/Qualifications The candidate profile: Candidates should have recently obtained, or are about to obtain, a master’s degree in engineering, physics, or applied mathematics. Previous experience with finite element
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/Qualifications Conocimientos de modelización por elementos finitos con Ansys Workbench. Ansys Workbench finite elemento modeling knowledge. Conocimientos de modelado de sistemas mecánicos conMatlab, Simulink y AVL
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/Qualifications Conocimientos de modelización por elementos finitos con Ansys Workbench. Ansys Workbench finite elemento modeling knowledge. Conocimientos de modelado de sistemas mecánicos conMatlab, Simulink y AVL
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• Field tests • Processing and analysis of laboratory and field data • Generation of three-dimensional models of the environment • Creation of a pattern database • Generation of synthetic data to be added
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and passion to conduct research and innovation activities on socioeconomic analysis of issues related to the production, processing, and consumption of food products as well as the interactions of food
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) for different nanowire chemistries such as Si, SiC and metal oxides. With these insights the student will apply methods to control nanowire structure in terms of size distribution, crystal polytype and produce
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to Friday from 8:00 AM to 3:30 PM. RESPONSIBILITIES: The main functions and tasks to be developed will include: Generate, clean, and standardize the database with metal determinations, merging the new data