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training collaboration in which universities and organisations from several countries jointly train doctoral students. The project combines research with structured doctoral education, including courses
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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
Materials consists of seven senior researchers, two technicians, and eleven doctoral students. SUBJECT DESCRIPTION Engineering materials includes the field of material composition, structure, properties and
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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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genomics, human gut microbiota research (shotgun metagenomics), Metagenome assembled genome construction, gut microbial genome, and gene database development. Comfortable working in a diverse, inclusive
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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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background in construction engineering, building engineering, or building energy documented knowledge and experience of research within sustainable built environments experience in studies of occupant behavior
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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