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- Institutionen för Biologi och miljövetenskap
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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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skills in at least one language commonly used in bioinformatics, such as Python or R. Strong analytical ability and a structured approach to problem solving. Proficiency in written and spoken English
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About the opportunity: Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and
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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
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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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to work both independently and in collaborative, interdisciplinary environments. Creativity, initiative, and a structured approach to complex data analysis are essential. Motivation and Fit: A well