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. More information about project partners is available on the project website here: https://www.ntnu.edu/isa/welgai n Duties of the position The successful applicant will conduct quantitative research with
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
). The research will explore how infrastructural development—particularly roads, mining, and urbanisation—shapes hunting, trade, and consumption of bushmeat, and how these changes affect human-animal interactions
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in the structured PhD programme at the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships
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cells will be explored. Moreover, the PhD candidate’s work and results will be part of the input to the BIPV tool development in the SolKit project: Tool development: Develop a user-friendly tool
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benefits and pension savings Career guidance and an individual career development plan Opportunity to take basic Norwegian language courses Research funds for travels and funding for conference participation
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leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and
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). The main aim of this PhD project is to develop mathematical models relevant for processes at the anode of aluminium electrolysis cells, with emphasis on evolution of bubbles, including the so-called “anode
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researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired candidate will be admitted to the PhD program in Science and Technology. The education
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Engineering. This is a trainee position that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired candidate will be admitted
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replacement therapies. Integration of omics data with all other collected datasets. Contribution to multimodal datasets that support the broader development of digital diagnostic tools in endocrinology