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application! We are looking for a PhD student in Wireless Communication and Computer Vision. Your work assignments Point clouds (PCs) are sets of three-dimensional (3D) data points and their attributes
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disabilities, gaps in their CV, immigrant backgrounds or different life experience to apply. If applicants indicate they have disabilities or gaps in their CV, their details may be used anonymously
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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are: Requirements definition, survey and documentation Processing of research projects Conception of digital systems and services Developing suitable participation formats together with external partners Designing
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opportunities, but you can add even more value with strong quantitative skills and some coding proficiency to accelerate the innovation process and help others leverage your work. As you get going, you’ll gain
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opportunities, but you can add even more value with strong quantitative skills and some coding proficiency to accelerate the innovation process and help others leverage your work. As you get going, you’ll gain
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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
Postclassical Greek language, the process of composition of papyrus documents and the backgrounds of their writers. A multidisciplinary team of three researchers and a research assistant will analyse ancient
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to indicate that a successful completion of the PhD thesis within the next 3 years is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in
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employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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to have a proactive attitude towards problem solving independently. The student is expected that she/he has prior experience using machine learning tools before and be familiar with signal processing tools