53 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at NTNU Norwegian University of Science and Technology
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programme in QARC Academic publications and popular science dissemination Project reporting for QARC Participate in the interdepartemental research group NaCl (https://www.ntnu.edu/iik/nacl-lab ) Participate
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particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme https://www.ntnu.edu/nv/phd Good oral and written presentation skills in
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set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and
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at the department. The Ph.D. position will offer opportunities to develop high-quality research within the field of digitalization of circular construction. Your immediate leader will be the Group leader of Civil
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(MATLAB, Python etc.) Personal characteristics Structured Thourough Trustworthy Innovative, creative and open minded Emphasis will be placed on motivation, personal and interpersonal qualities. We offer
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Structured Thourough Trustworthy Innovative, creative and open minded Emphasis will be placed on motivation, personal and interpersonal qualities. We offer An exciting job with an important mission in society
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) Ability to combine analytical research, teaching, and creative practice Collaborative, flexible, and thrives in interdisciplinary teams Adaptable and open to new tasks Initiative-taking and structured in
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Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/293142/phd-candidate-in-networke… Requirements Research FieldTechnologyEducation LevelMaster Degree or equivalent
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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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mixed models, permutational methods, Bayesian analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree