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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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/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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/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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) 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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from competitive calls. Proved experience in agricultural `policy modelling (mainly in General equilibrium or partial equilibrium models) At least 10 publications in Impact factor journals (JCR, SCOPUS
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that allow the detection of possible defects in the process of sheet metal forming and roughing of weld seams. Develop and apply explainable AI models that support workers' decisions based on the data
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>500 human proteins, and to probe the genetic architecture of proteins, protein interactions, and RNAs. A key component of this work has been the development of computational methods for analyzing deep
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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