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PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
background in one or more of the fields of rock physics, petrophysics, seismic attribute analysis, seismic inversion (both pre- and post-stack inversions), and machine learning with geoscience knowledge
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knowledge for precision medicine in brain disorders, building on advanced statistical methods and AI-tools for analysis of large-scale human genetic and neuroimaging data, to better understand how biological
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, and international collaborators. The main goal is to develop tools and knowledge for precision medicine in brain disorders, building on advanced statistical methods and AI-tools for analysis of large
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physics and characterization using photoluminescence (PL) measurements and ODMR. Knowledge on optical and electrical semiconductor defect characterization. Experience with data analysis using, e.g., Origin
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, geochronological, geochemical, paleomagnetic and sedimentological knowledge to reconstruct the environmental conditions and resolve fundamental questions that remain about the initial rise of atmospheric oxygen and
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probability theory or PDE theory to the level of a Master’s degree, and basic familiarity with both. Prior knowledge of specific subdisciplines for the examples listed in the description may be advantageous but
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on point defects in semiconductors for quantum technology applications. Experience with color center physics and characterization using photoluminescence (PL) measurements and ODMR. Knowledge on optical and
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education in mathematics. The appointed fellow should have expertise in probability theory or PDE theory to the level of a Master’s degree, and basic familiarity with both. Prior knowledge of specific
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of Norway with the objective to generate novel knowledge about how to reduce inequalities in education. The interdisciplinary center integrates researchers with substantive expertise from education
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in an organization with an important societal mission, contributing to knowledge development, education, and enlightenment that promote sustainable, fair, and knowledge-based societal development