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The successful candidate will contribute to the acquisition, processing, inversion, and geological interpretation of large-scale EM datasets for hydrogeological mapping in Ethiopia. The work will
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Moller Institute (MMMI) , at the University of Southern Denmark (SDU) , invites applications for a fully funded PhD position on the topic of automated mapping and identification of large structure
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on-premises infrastructure. Build intuitive user interfaces and APIs to support collaboration across international research teams. The platform must integrate data from lab automation systems and field devices
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of the important technologies in the field of LAIs. The common approach to manipulate the performance of LAI suspensions release rate relies on changing particle size distribution of the crystalline API
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organising from three perspectives (culture, infrastructure, policy) and compares three industrial sectors (gamers, VTubers, adult content creators). In so doing, the project will map the industrial conditions
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of the crystalline API. This strategy is fundamentally explained by the Noyes-Whitney equation, which describes the dissolution rate of particles in sink conditions. According to the Noyes-Whitney equation
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-based workflows to evaluate stability, properties, and synthesizability-by-design in close collaboration with NTU Singapore. Develop software frameworks, APIs, and workflows for foundational machine
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Aarhus University, Department of Mathematics Position ID: MATHAU-ASSISPROF1 [#27806] Position Title: Position Type: Non tenure-track faculty Position Location: Aarhus, 8000, Denmark [map ] Subject
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analysis, stakeholder mapping, risk/hotspot identification, and social impact interpretation. Ensure alignment with UNEP/SETAC guidelines and emerging Social-LCA best practices. Behavioural Economics
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Postdoc position to support international research and capacity-building projects employing elect...
assignments The successful candidate will contribute to the acquisition, processing, inversion, and interpretation of large-scale EM datasets for hydrogeological mapping in Ethiopia. The work will involve both