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- University of Bergen
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- NTNU - Norwegian University of Science and Technology
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applications, dashboards, and mapping tools Work with environmental or health data and basic GIS/spatial analysis We offer At NILU, we work towards our common future. Our research will contribute to a good
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laboratory work. Experience with molecular biology techniques, such as RNA sequencing (from RNA extraction to data analysis) Experience with immunohistochemistry Experience in using R, python or similar
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as an attachment. Main tasks Main tasks in the project will be experimental work, sampling of wild cod in the field and under laboratory conditions, as well as processing and analysis of biological
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Required qualifications PhD within forest sciences, remote sensing, data science or related field Competence in data processing and analysis of remotely sensed data Experience in use of remotely sensed data
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Computational Geosciences and Modelling at the NORCE Energy and Technology Department in Bergen. About the position The position is part of the Norwegian Research Council funded centre for environmentally
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. At NTNU, 9,000 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
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funding from Petrolia NOCO. About the project/work tasks: The position is affiliated with the project “Reservoir and Seal Characterization & Prediction: An Integrated Workflow Combining Flow-Facies Analysis
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sequence analysis. Familiarity with metagenomic library construction or screening methods. Candidates with experience in microfluidics will be considered an advantage. Ability to work independently and
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activity and health Health issues related to sports participation The project in question falls well within the department’s core areas. The successful candidate will be part of the newly established Oslo
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democratic development and be an attractive and inclusive place to study and work. Researcher There is a vacancy for a researcher position at MediaFutures within Media Content Interaction/Accessibility & AI