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Field
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large amounts of raw data. Then the raw data must be processed in the sensor in order to be able to transmit compressed data or a condition description based on analysis of the raw data. Onboard
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especially relevant for sensor types that generate relatively large amounts of raw data. Then the raw data must be processed in the sensor in order to be able to transmit compressed data or a condition
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a data infrastructure to study the connection between environment, genes, and mental health. It will gather and organize large collections of data on people's health, environment, and genetic
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dependability. Our research is focused on developing and investigating robust and efficient software infrastructures, trusted data management and storage, secure networking, multimedia support, and support for
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methods to draw causal inferences from non-experimental data. The main data source is administrative register data linked with large-scale survey data and genetic data. The successful candidate should have
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written communication Solid overall academic and professional background Relevant previous publications and development work. via Unsplash We offer Professional development in a large, exciting, and
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snow applications and developing data analysis methods, so the PhD candidate will benefit from collaborations within the group. Roles and responsibilities of the PhD fellow The candidate’s specific
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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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three cities with headquarters in Trondheim. 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
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and society at large. You will be working together with your colleagues on challenges related to data pipelines and workflows across edge, fog and cloud computing, data sharing, as well interoperability