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Andrew Hodson 30th September 2026 Languages English English English PhD position in Arctic Water Quality Change as a consequence of Permafrost Thaw Apply for this job See advertisement About UNIS
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organised research training at USN on our website. The PhD research fellowship is for a fixed term of three years with pure organised research training. Your personnel manager will be Ali Ghaderi, and your
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a fixed term of three years with pure organised research training. Your personnel manager will be Ali Ghaderi, and your main supervisor will be Associate Professor Nora Cecilie I. S. Furuvik. It is a
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relevant to carbon capture and storage applications. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within the framework as described
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scale radar datasets with high quality labels remain scarce. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations
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-based care with compassion, expertise and inclusiveness. Our vision is advance healthcare through collaborative and diverse teams that lead discovery and educate the future leaders in radiology. We
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. · Staff Management: Assist others in hiring, training, and supervising survey research staff (interviewers, student assistants, support staff) and provide ongoing support and quality control
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the clinical trial, contributing to data management and quality control, analyzing neuroimaging data, and disseminating findings through scientific publications and conference presentations. The position
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methods in consultation with your supervisor and undertake the necessary administration for a smooth PhD process. You will conduct the research efficiently and to an appropriate standard, possibly abroad
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
in yards, creating opportunities for more data-driven planning. AI can replace or supplement traditional planning approaches, which struggles to manage the uncertainty and variability that are inherent