205 computer-security "https:" "https:" "https:" "https:" "https:" "Dr" "Robert Gordon University" PhD scholarships in Norway
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- NTNU - Norwegian University of Science and Technology
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-year program is designed for talented students who wish to pursue an international career within academia and who can contribute to the international arena with their research and publications
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-year Norwegian master program, where 120 credits have been obtained at master's level Master students can apply, but the master's degree must be obtained and documented before starting the position and
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for admission to the faculty's Doctoral Programme Good skills in mathematics, programming, and information systems Very good English skills, both written and oral PLEASE NOTE: For detailed information about what
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requirements for admission to the faculty's Doctoral Programme You must have strong experimental background in synthesis and functionalization of nanoparticles via bottom-up approaches or synthesis and
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Doctoral Programme Good written and oral communication skills in English Knowledge or background in manufacturing systems, production management, operations research, or industrial engineering PLEASE NOTE
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the requirements for admission to the faculty's Doctoral Program PhD in Engineering Good written and oral English language skills The candidate must commit to following and completing the courses
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Doctoral Programme You must have an academically relevant background within mechanics of materials, solid mechanics or fatigue and fracture mechanics Documented strong background in experimental mechanics
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the mandatory PhD program in Medicine and Health Sciences at NTNU Be prepared for changes to your work duties after employment. Required selection criteria The applicant must have an educational background in
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Doctoral Programme - PhD - Faculty of Engineering Science - NTNU You must have prominent skills in using GIS software (such as QGIS or ArcGIS Pro) and be comfortable working with large datasets. You must be
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the mandatory PhD research education programme Develop a hybrid numerical and data-driven method to integrate natural design principles into the development of bioinspired materials Perform independent, high