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Field
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to multidisciplinary data integration across geological, geochemical, geochronological and geophysical datasets. Fieldwork will be conducted in rural and sparsely populated areas of central and northern Sweden
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geophysical models developed in parallel projects The work will focus on establishing the geometry, kinematics and reactivation history of basement-rooted structures and evaluating their role in
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. Hu, X. Wei, X. Wu, J. Sun, J. Chen, Y. Huang, J. Chen, A deep learning-enhanced framework for multiphysics joint inversion, Geophysics, 88(1), K13-K26, 2023. https://doi.org/10.1190/geo2021-0589.1 [3
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-scale deformation and microstructural analysis - Targeted petrochronological studies on magmatic and deformation events - Integration with regional geophysical models developed in parallel projects
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, geochronological and geophysical datasets. Fieldwork will be conducted in rural and sparsely populated areas of central and northern Sweden (Västernorrland, Västerbotten), often in uneven terrain and variable
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outcomes of these databases and platforms into their own scientific studies. Applicants must meet the following requirements: Possession of a Ph.D. in geophysics or a related field. An outstanding record
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
of Rayleigh backscatter, DAS enables applications spanning structural health monitoring, security, transportation, geophysics and ocean observation. Recent field trials on telecom submarine cables have shown
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content The PhD programme is research-oriented and covers the full range of solar system science from geophysics and
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natural sciences (http://www.gauss.uni-goettingen.de ). The Faculty of Physics offers you a wide range of physical sub-fields such as the following: astrophysics biophysics geophysics materials physics
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. Strong (inter-)national network in field of application. Experience with high-performance computing (HPC) and large datasets. Experience with machine learning applied to geophysical signals. Experience in