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Field
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projects is developing a new understanding of the fluid-structure interactions, that is to say, the coupling between hair’s/sheet’s elastic deformations and the fluid flow. The project aims to develop a
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ecology and remote sensing research focused on vegetation structure, including coordinating field campaigns, processing and analysing LiDAR and UAV data, producing high-quality research outputs, securing
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(e.g., F32, K99/R00) Career Development & Advancement: We are committed to the professional growth of our postdocs. You will have access to: Structured Mentoring: Regular feedback and formal IDP reviews
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the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced
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physiology and medicine to contribute to research strategy measure physiological and structural variables within cardiovascular and related functions, managing and analysing data, statistical analysis
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skills To complete a PhD, it is essential to Be reliable and independent Contribute to teamwork Work systematically and structured Jarli & Jordan / UiO via Unsplash Jarli & Jordan / UiO We need different
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as part of a team Ability to work precise in a structured manner and swiftly adapts to new tasks Good data management skills and structured workflow Positive attitude and the ability to handle hectic
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national security regulation. What are we looking for in you? Personal skills: Ability to work both independently and as part of a team Ability to work precise in a structured manner and swiftly adapts
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are we looking for in you? The fellow is expected to take part in the activities of the Section of Risk and Stochastics. We are expecting a person able to work in structured manner both independently and
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Norwegian doctoral degree in structural geology or relevant topics with a special focus on fault characterization, both fault geometry and properties. The applicant should have worked on fault