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, electrochemical characterisation or analytical techniques would be advantageous. You should be able to work independently, analyse and interpret experimental data, and communicate effectively within a
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collaboration with the High-Performance Computing Centre of NTU. In addition, EOS hosts state-of-the-art analytical facilities for petrological and geochemical analysis, and a Community Engagement office that co
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of salinity data collected during the field surveys and through the monitoring stations; Calibration and validation of analytical and numerical hydrodynamic models based on the collected data. The models have
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main purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information, please see our web site . Qualification requirements Applicants must
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design, laboratory techniques, data analysis, and scientific communication. Assist with laboratory organization and administration, including ordering, inventory management, equipment maintenance, protocol
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1st October 2026 Languages English Norsk Bokmål English English PhD Research Fellow in Information Systems on AI, Digital Platforms, and Extremism Apply for this job See advertisement About the
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of linkers, fluorophores, chelators and other functional groups. ● Purification and analytical characterization using HPLC, LC-MS and related approaches. ● Systematic structure-function studies
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technologies and ICT (e.g., blockchain, IoT, data analytics) in future energy systems. Willingness to contribute to academic dissemination (e.g., publications, conferences) and collaborative project tasks
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of research, technology and industry, you will lead the development of innovative approaches using multi-sensor lidar, imaging analytics and geospatial data to improve forest inventory, monitoring and decision
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About the role We are seeking a highly motivated Research Associate/Fellow to join a multidisciplinary team developing advanced MRI and sensor data analytics methods to improve our understanding