627 phd-in-architecture-interior-design-built-environment Postdoctoral positions in Uk
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students, the RCA is recognised for its rigorous research environment, its impact across the arts, design, and culture, and its leadership in interdisciplinary education. The College is home to world-class
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develop methods for the recombinant production of post-translationally modified structural proteins, investigate their effects on material assembly and properties, and design new, functional materials. In
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highly multidisciplinary environment that spans fundamental discovery through to patient care. Our researchers benefit from outstanding core facilities, including state-of-the-art label-free bioimaging
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require close cooperation with other research groups. The position requires PhD in computer science, engineering, or a related field Excellent research track record in AI and sustainability or cloud
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You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (muscle physiology, muscle biology
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thought from an international perspective, emerging in different historical, cultural and national contexts. The relationship between these systems of thought and the design of curricula for future loyal
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Royal College of Art The Royal College of Art (RCA), founded in 1837, is the world’s leading art and design university, ranked number one globally in the QS World University Rankings by Subject for eleven
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thriving environment for research as well as for career development. The Role Are you an ambitious researcher looking for your next challenge? Do you have an established Are you an ambitious researcher
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skills and experience: Essential criteria PhD qualified in relevant subject area (muscle physiology, muscle biology, genomics, epigenetic etc.) * Prior experience with single cell omic pipelines Proven
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). The ideal candidate will have: A PhD in environmental science or closely related discipline by the start date of the appointment Broad understanding of eco-evolutionary optimality concepts and modelling