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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
aluminium of high recycled content. The use of post-consumer scrap (PCS) in structural components (e.g. for automotive applications) is expected to increase with growing sustainability demands. Understanding
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in transplantation, structural heart, and minimally invasive valve surgery make this an exceptional position for a surgeon passionate about advancing both clinical care and surgical education. This
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operational planning processes for complex marine systems. You will be part of a world leading, vibrant research community in marine technology, together with more than 60 PhD students from all over the world
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academic systems, administrative systems, and research computing. This position requires a team-oriented IT professional, experienced in designing, implementing, and maintaining complex applications, systems
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
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budget and within scope, consistent with the Centre’s objectives. You’ll thrive in this role if you enjoy working in an agile, constantly evolving environment with a flat structure where collaboration is
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, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See: http://www.unl.edu/equity/notice
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, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See: http://www.unl.edu/equity/notice
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up collection supplies including accessing and pulling data, and performing basic laboratory workflows, including handling specimens that do not need processing and triaging low-medium complexity
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data types; maintain data dictionaries and documentation; ensure datasets are structured and reusable. Align and harmonize data across modalities, scales, and timepoints; resolve site-specific data