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candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods for engineering and will use this experience in collaboration with
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for conventional noise control methods. Acoustic metamaterials offer a promising alternative by breaking their acoustic limitations and enabling highly efficient and environmentally friendly noise control solutions
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noise, particularly its low-frequency tonal components, poses significant challenges for conventional noise control methods. Acoustic metamaterials offer a promising alternative by breaking their acoustic
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the next generation of gas turbine engines. Successful candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods
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-to-roll production of ultrathin, lithium-doped glass films with high ionic conductivity and near-zero defect density. The application of fibre-drawing methods in battery manufacturing is disruptive, placing
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. The application of fibre-drawing methods in battery manufacturing is disruptive, placing this research at the forefront of innovation. The project involves a multidisciplinary team with researchers from
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Facilities. The successful applicant will join a vibrant and interdisciplinary project encompassing several theoretical and experimental research groups that use a wide variety of methods to study
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that integrates glycoproteomics, glycomics, and immunological data. The role involves developing novel methods for immunogen glycosylation and establishing new experimental pipelines. You’ll publish in leading
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adapt methods for electronic structure theory Manuscript preparation and presentation of results at national and international meetings. Required Knowledge, Skills, and Abilities: PhD or equivalent
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. The Role You will lead innovative research that integrates glycoproteomics, glycomics, and immunological data. The role involves developing novel methods for immunogen glycosylation and establishing new