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Image processing and computer vision Experimental data analysis and uncertainty quantification Piezoelectric actuation, acoustic systems or electronic driver development Eligibility and Project
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and/or published/publishable scientific papers. You must meet the requirements for admission to the Faculty's Doctoral Programme . You must have English language skills, both written and spoken
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imaging (crucial) Experience with image segmentation, deep learning, or computer vision. Experience with 3D image processing or inverse problems. Experience with experimental research and data acquisition
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to the faculty's Doctoral Programme, see Section 6-1 of the PhD regulations for more information. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
managerial insights and practical guidelines for practitioners. Take part in the mandatory PhD research education program Conduct independent research and publish the result in recognised scientific journals
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a vacancy for a fully funded 4-year PhD position. This interdisciplinary role is offered in collaboration with the Department of Computer Science (IE) and external partners in Norwegian municipalities
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program, including application review, scoring, selection, and awarding. Collaborate with Admissions in planning and executing Scholar's Day for scholarship finalists. Continuous Improvement & Special
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background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Program. You are expected
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that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's doctoral program(https://www.ntnu.edu/studies/phiv ) Very good English skills (both
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institutions. Be prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission to the Faculty's Doctoral Programme , see Section 6-1