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bias, including previously detected structural variation on sex chromosomes, and analyze the evolutionary history of these regions within and across species. Overall, this project will provide novel
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emphasis will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses
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to the development of next-generation approaches for marine environmental assessment and sustainability, working at the interface of environmental systems science, marine technology, and data-driven research within
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individual structures that greatly affect diseased cells. The work is carried out in close collaboration with co-supervisors, and spans a broad set of techniques including DNA nanostructure design and assembly
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temporal variation and cannot be adequately described by models that assume a uniform structure. The project aims to develop flexible models that allow key characteristics of the process, such as event
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(DDLS) use data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global
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application! About us The Department of Chemistry is one of the largest departments within the Faculty of Science and Technology with approximately 200 employees and strong and expanding research
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studies. About the DDLS program Data-driven life science (DDLS) combines data, computational methods, and artificial intelligence to study biological systems from molecular structures to human health and
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have otherwise acquired essentially equivalent knowledge. Qualifications Required qualifications Practical experience of molecular biology techniques Good ability to work experimentally in a structured
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independently when required whilst also contributing effectively to a team. We would further like you to: Be able to organise and structure your own work. Deliver results according to agreements made. Be