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Field
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₂ storage. In this role, you will develop multiscale geomechanical and/or geodynamic tools and workflows to assess underground gas geo-storage at basin and field scales, with applications in both data-rich
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experience in modeling of atmospheric composition. Additional Qualifications Experience with the GEOS-Chem model and with inverse analyses, strong scientific programming skills. Experience with inverse
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PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
Contact City Oslo Website https://www.mn.uio.no/geo/english/index.html Street PO box 1072 Blindern Postal Code NO-0316 E-Mail nazmulh@geo.uio.no planke@geo.uio.no STATUS: EXPIRED X (formerly Twitter
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German Institute for Global and Area Studies (GIGA); | Hamburg, Hamburg | Germany | about 2 months ago
). Research on the economic and political impacts of geo-economic fragmentation and geo-politics in the GIGA study regions are particularly welcome. The successful candidate will become member of the GIGA’s
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satellite imagery companies. These may include derived datasets such as building footprints, geo-embeddings, or datasets derived from mobile phones and social media. Work will also involve exploration
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satellite imagery companies. These may include derived datasets such as building footprints, geo-embeddings, or datasets derived from mobile phones and social media. Work will also involve exploration
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governments and UN agencies to big tech and satellite imagery companies. These may include derived datasets such as building footprints, geo-embeddings, or datasets derived from mobile phones and social media
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Paper (Geoscience Characterisation (data acquisition, integration, and modelling), Rock Mass Conditioning technologies, Geo-risk Management and hazard modelling, Material Flow in Deep Cave Mines, Mining
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, Geopolitics & Security (GEO-Security ). The position is further linked to the specialization Arctic Vulnerabilities . The appointment period is normally three years without teaching duties, but a four-year
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partners from governments and UN agencies to big tech and satellite imagery companies. These may include derived datasets such as building footprints, geo-embeddings, or datasets derived from mobile phones