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. October 2026. This is a trainee position that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired candidate will be
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ability to purchase additional leave; flexible working arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive
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or Conservation Science at the Museum of Archaeology, Department of collections. This is a trainee position that will give promising researchers an opportunity for academic development through a PhD education
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liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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information/data from one structure can be used to manage similar structures from the same population. New machine learning, sensing and digital twin technologies will be developed with the aim of driving new
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immunophenotyping of colonic tissues. Develop and optimize small animal models of colitis to investigate the mechanistic role of SCFA-producing microbes in mucosal repair. Perform data analysis using computational
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. This position supports ongoing research developing and using assays for the detection of various small molecules (amino acids, acylcarnitines, organic acids); testing chemical solutions to improve the stability
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fundamental brain functions, such as computation, learning, and memory, via the development and application of novel technologies to read out and control cellular activities in the living brain. The Spatial
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of Electrical and Electronic Engineering, and contribute to high-impact publications. Key Responsibilities: Undertake research and development necessary to achieve the goals of the research project in pinching
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Designing and developing scalable algorithms