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medical datasets e.g., large magnetic resonance (neuro)imaging datasets. Basic understanding of radiology clinical workflows and radiology report structure. The ability to take individual responsibility
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optimize epitaxial growth of complex oxide nanostructures, especially ferroelectrics, via solid-phase epitaxy (SPE) Perform thin-film and device characterization across structural (XRD, AFM, SEM, XPS, TEM
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knowledge in the areas of pyrolysis and flame retardancy of polymers Excellent English skills, both written and spoken Ability to work in a team and willingness to cooperate Goal-oriented and structured
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quality care, improve patient outcomes, and drive structural change in U.S. health care delivery. Current projects include examining regulation and use of digital health technologies, access to medications
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strong background and experience in performing advanced high-resolution TEM. Experience in performing such characterisation on 2D materials and a deep understanding of their structure-property
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of employment The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff
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working with large/administrative data sets. Insights into the institutional structures of national tax systems and their implications for data availability and data quality. Ability to find and utilise new
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the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities (in Danish) and protocol on certain
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characterisation techniques such as in situ scanning tunnelling microscopy. This combination will be used to investigate the structure-property relations of well-defined electrocatalyst materials as
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Extraction), jointly led by the Chemical Sciences and Engineering (CSE) and Applied Materials (AMD) Divisions at Argonne National Laboratory. This project focuses on understanding the evolution of structure