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will undertake detailed and sophisticated work in physical and digital archives, and will ideally bring other interdisciplinary expertise (e.g. in visual culture or performance practice). The research
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proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events. Applicants will possess a relevant PhD or equivalent
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systems, and the biological, chemical, physical and mathematical sciences to increase our understanding of fungal pathogens and cognate immune defences, and to identify new ways to diagnose, prevent and
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machine learning models to improve the process of creating transportation models. Responsibilities: Development of optimisation and machine learning models to improve the process of creating transportation
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will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other
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biophysics. You should also have a good understanding of soft matter or biological physics (broadly defined). Proficiency in scientific programming, especially computational image analysis, is highly desirable
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able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events
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generated from DFT calculations. About you Applicants will possess a relevant PhD or equivalent qualification/experience in materials, physics, chemistry, or a related field of study. For Fellow level the
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PhD or equivalent qualification/experience in materials, physics, chemistry, or a related field of study. For Fellow level the successful applicant will likely to be a nationally recognised authority in
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. The mission has just been adopted by ESA as a flagship scientific mission in the next decade. The LISA instrument consist of 3 satellites in a triangular configuration with 2.5-million-kilometre arms, moving in