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requires fluency in spoken and written English. Knowledge and experience in one or more of the following areas would be advantageous: experiences in applied visualization, topological data analysis, and
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qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo
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: Field sampling Laboratory experiments assessing the activity of mixed microbial cultures Chemical measurements Molecular biology techniques (e.g., metagenomics) to study microbial communities and their
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’ learning and experiences in public educational environments, such as the Visualization Center in Norrköping. The goals of the project are to identify AI-guide characteristics, investigate interactions
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resolved gene expression without the need for extensive experimental data. By learning the underlying mappings between these domains, synthetic data will be generated that reflects potential drug responses
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first-year coursework, workshops, mini-courses and an annual workshop for doctoral students. Teaching experience and possibilities for pedagogical training which will be meritorious for a future academic
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circularity of on-site construction processes), or business, management or social science with experience in working in the construction sector. Excellent verbal and written communication skills in English
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or social sciences with experience related to housing, architecture, or renovation. Required qualifications: A master's level degree in a relevant field (a 4-year bachelor’s degree can also be accepted
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(BIM) and other relevant tools, e.g. thermography inspection. -Experience in statistical analyses of experimental results. -Ability to work independently and to formulate and tackle research problems
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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel