384 evolution "https:" "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" research jobs at Nature Careers
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Young Scholars, and “Ten Thousand Talents Program”), and 41 national-level young talents. In recent years, the university has entered a new stage of innovation-driven development, positioning itself as a
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, infrastructure, environment, materials, and chemistry and process engineering. We are looking for talented people to join us. Your responsibilities include: Research and development in civil safety, particularly
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of the fellow. We will provide guidance on career development and encourage the fellow to apply for postdoctoral fellowship as well as other career stage appropriate fundings.. Application Instructions Interested
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creep tests: Further development of the existing bending creep device Conducting bending creep tests on metallic high-temperature materials for accelerated characterization of creep behavior Conducting
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previous experience in XR, UI, and UX development Proficiency in at least one major game engine, e.g., Unity or Unreal Engine, and C#/C++ or similar languages for interactive 3D applications Proven interest
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state-of-the-art scientific equipment (laboratories, etc.) Freedom to pursue your own innovative ideas in research and development Good work-life-balance (option of mobile working, flexible working hours
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communicate your work, contributing to scientific publications, stakeholder presentations, and potential valorization or IP development. Job requirements A PhD in data science, applied physics, chemistry
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Are you interested in catalysis, and can you contribute to the development of chemical technologies for thermoset plastic recycling? Then the Skrydstrup Group at the Interdisciplinary Nanoscience
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/commercial development. Key Responsibilities Design, synthesize, and characterize drug delivery systems (e.g., liposomes, LNPs, polymeric or hybrid nanoparticles) Develop and optimize formulation strategies
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further development of human iPSC-based organoid and cell culture models Planning, execution and analysis of experimental work (e.g. differentiation protocols, molecular biology analyses, imaging