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data from the water column and sea ice. Furthermore, you will investigate bulk properties such as Chl-a, particulate organic carbon, and biogenic silica. In addition, you will analyze the physical and
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advertisement The position Visual Intelligence at the Department of Physics and Technology announces a vacant PhD position in the area of deep learning and medical image analysis. The position is for a period
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regulation. Payment is made on the 23st of each month, through bank transfer to the Bank Identification Number of the fellow identified in the contractualization process. Other benefits: Voluntary Social
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@sintef.no Erling Svendsen, Fjellfrosk Media via Unsplash Erling Svendsen, Fjellfrosk Media Qualifications Required qualifications: Master's degree or foreign equivalent in polymer chemistry, polymer physics
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of Stavanger or the University of Bergen. This will be clarified in the recruitment process. The education includes relevant courses amounting to about six months of study, a dissertation based on independent
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or the University of Bergen. This will be clarified in the recruitment process. The education includes relevant courses amounting to about six months of study, a dissertation based on independent research
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years with research duties exclusively, or four years with both research and 25% required duties. This will be clarified in the recruitment process. Research topic The candidate will be affiliated with
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years with research duties exclusively, or four years with both research and 25% required duties. This will be clarified in the recruitment process. Research topic The candidate will be affiliated with
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interactive scenarios to be supporting people in their own homes. This is with regard to everyday tasks and support in physical rehabilitation. Thus, it is relevant to work with implementation and research
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. Evaluation and selection process: Candidates will be assessed by CV, including full courses grades (70%), motivation letter (30%). Applicants whose application is scored with a final classification of less