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to extend the operational lifespan and reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a Research Assistant (PhD student
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on cell cultures (2D/3D), applying interdisciplinary approaches from experimental biology and biophysics Development and optimization of experimental protocols for working with cell cultures, including
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at KTH Royal Institute of Technology is seeking a highly motivated doctoral student with a strong background and interest in spatial AI, navigation, sensor fusion, optimal estimation, and machine learning
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embedding longevity, material efficiency, and realistic performance limits from the start. This project develops a pioneering methodology for data-driven optimization of next-generation material systems. You
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state-of-the-art aberration-corrected Nion HERMES 200 scanning transmission electron microscope (STEM) optimized for both atomic level imaging and high energy and momentum resolved electron energy loss
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microscopy on magnetic materials and/or the use and development of coherent x-ray microscopy techniques, to join the SoftiMAX team. As part of the team, you will ensure optimal operation of the beamline plus
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mass spectrometry analyses, including experimental design, data acquisition, and data interpretation. This role involves developing and optimizing methodologies, assisting users from diverse research
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for veterinary antimicrobial stewardship and infection prevention. Information on the department and the section can be found at: https://ivh.ku.dk/ . Our research The Assistant Professor will be part of the OHAR