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-based carbon models based on unique datasets from long-term experiments and the national soil monitoring network for arable mineral soils. Your work will be based on methodological research for developing
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. · Support PhD students in their work, focusing on the combination of knowledge-based and data-driven approaches · Develop new hybrid AI models and algorithms · Implement a prototype of a
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for pharmaceutical lead discovery using mRNA display Base Salary, level A $105,314 - $116,679 p.a. + 17% superannuation About the opportunity The School of Life and Environmental Sciences (SOLES) is currently seeking
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Applications are invited for a 1-year post-doc position on modeling of two-phase flows for green hydrogen application at the Department of Mechanical and Production Engineering, Aarhus University
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The Department of Environmental Science at Aarhus University invites applications for a postdoc position in climate modelling. The position is part of the research project ArcticPush, which
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opportunity to join a research project focused on the in vitro selection of RNA-based therapeutics for targeting and inhibiting viruses, particularly Influenza A. The position is available from July 1st 2025
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Postdoc position (f_m_x) ,,Combining Physics-Based Machine Learning and Global Sensitivity Analys...
social relevance of the project. Your responsibilities: Development of new strategies to perform global sensitivity analysis using physics-based machine learning methods Development of non-intrusive model
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GRAV4GEO project aims to expand the resolution of global gravity field models beyond their limits using a forward gravity modelling technique based on very high-resolution digital elevation data and
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well as geodynamic effects on fault criticality in geothermally prospective rift systems. Optimisation of the functionality of the coupling framework based on regular interaction with modelling experts from
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carrier dynamics in luminescent materials. The model will incorporate a user-defined lattice structure with discrete electron- and hole-trapping sites based on defect distributions. Each site will be