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formulations. All this research requires advanced characterization methods to study interaction, structure and beahaviour. The research group has well-established collaboration with the large-scale facilities
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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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to teaching and are willing to take part in courses and supervision at the department You have strong written and verbal communication skills in English You work in a structured, solution-oriented way and enjoy
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leading the investigation of structural and biophysical properties of miniaturized tumor environment models. A multidisciplinary approach is expected, integrating microfabrication, cell component and
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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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well as a highly collaborative research environment. For more information about Nathaniel Street’s research group, see: https://www.umu.se/en/staff/nathaniel-street/ Project description Establishing robust
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design–test–learn cycles Learn and apply computational methods (e.g. Density Functional Theory) to understand reaction pathways, adsorption and activation mechanisms, and structure–activity relationships
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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
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of Chemistry. Are you interested in knowing more about Umeå University as a workplace read more at: https://www.umu.se/en/work-with-us/ Work tasks The work as an amanuensis means that you are employed ... Read
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on personal qualities; we are seeking a candidate who is outgoing and flexible with the ability to show initiative, work independently and take responsibility for their own work in a structured manner. Strong