242 evolution "https:" "https:" "https:" "https:" "ESPCI Paris PSL" scholarships in Norway
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of the National Insurance Scheme which also include health care services. More practical information about working and living in Norway can be found here: https://uit.no/staffmobility Application
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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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made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the
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outside academia. The PhD position is linked to the " GP CIRCFeed – Circular Low Trophic Feed Production from Industrial Sidestreams” project financed by The Green Platform Initiative (https
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of formulations with respect to estimation of in vivo performance. Experience with development of formulations for inhalation. Experience with characterization of formulations for inhalation or nasal delivery
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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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Construction (RP1.1) Project under FME RenewHydro is dedicated to the development of improved design for future hydropower plants. The project aims to reduce construction costs, environmental impacts, technical
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into their applicability and associated challenges Further development of the stability assessment to increase its applicability Proposal of digital substation measurement structure based on requirements from a derived
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AIS data from ocean-going vessels. The objective of the Ph.D. position is to develop: Development of frequency domain machine learning applications to detect risk or threat situations in underwater
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that evolve over time. For example, the contamination level may become critical, or on the contrary less urgent after a certain period. Two factors can be the source of such evolution, a physical one, where