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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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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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qualifying position PhD Fellow, research assistant, or the like in such a way that the total time used for research training amounts to three years. We process personal data given in an application or CV in
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Qualifications This position requires a master’s degree or equivalent in Mechanical Engineering, Process technology, applied physics with a good knowledge of turbomachinery, power generation or other relevant
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meaning and representation across different types of data can complicate the process of effectively integrating information from diverse sources. Utilizing heterogeneous data is highly relevant to ocean
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the application deadline. Assessment The applicants will be assessed by an expert committee. During this assessment process, emphasis will be attached to the applicant’s potential for research as shown by: Master’s
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2 May 2024 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Physcis and Technology Research Field Physics Mathematics Technology Computer
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used for research training amounts to three years. We process personal data given in an application or CV in accordance with the Personal Data Act (Offentleglova). According to the Personal Data Act
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, research assistant, or the like in such a way that the total time used for research training amounts to three years. We process personal data given in an application or CV in accordance with the Personal
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the appointment is based on a previous qualifying position PhD Fellow, research assistant, or the like in such a way that the total time used for research training amounts to three years. We process personal data