546 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" PhD scholarships
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Field
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in vitro and in living cells The applicant will benefit from access to centralized facilities (in particular Nanobody technology, proteomics, cutting-edge microscopy and structural biology). Please
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Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with post-DFT analysis and processing tools for electronic structure
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Application deadline: All year round Research theme: Department of Chemical Engineering; research theme: advanced functional materials and analytical science How to apply: https://uom.link/pgr-apply
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Sciences program starting in September 2026. We are looking for candidates from various disciplines (Management, Economics, Engineering, Psychology, Sociology, and other disciplines related to management
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the University of Stuttgart, and with the right to award doctorates, it represents an innovative and unique organisational and structural model for the doctoral phase by connecting research and qualification as
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/Overseas applicants . This project would potentially suit candidates from backgrounds in Structural and Mechanical Engineering, Engineering Mathematics, Applied Mathematics and Physics. We are interested
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the spatiotemporal and structural dynamics of reading networks using advanced neuroimaging methods. The position offers interdisciplinary training in behavioral, functional, and structural MRI, alongside hands
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applications in information technology and are based on electrical, magnetic or optical functionalities. The Department of Quantum Technologies is looking for a PhD Student (f/m/d) - Imaging magnetic structures
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2 Dec 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Engineering Cybernetics Research Field Computer science » Cybernetics
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, indicators and survey information. The division combines structural macroeconometric modelling with data-science methods for nowcasting, high-frequency indicators construction, machine learning, time-series