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-assisted reservoir characterization/modelling for CO2 storage Apply for this job See advertisement About the position Position as PhD Research Fellow in ML-assisted reservoir characterization/modelling
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Familiarity with Earth System Models in general, and NorESM in particular Strong track record of relevant peer reviewed publications All candidates and projects will have to undergo a check versus national
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in at least one of the following areas: molecular cloning and mutagenesis in non-model bacterial species (ideally in a BSL-2 environment), mass spectrometry (ideally in combination with chemical
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Meridional Overturning Circulation, from models and in situ data 2) using Lagrangian measurements to study ocean dynamics, for example transport and spectral characteristics 3) ocean-bathymetry interactions
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Overturning Circulation, from models and in situ data 2) using Lagrangian measurements to study ocean dynamics, for example transport and spectral characteristics 3) ocean-bathymetry interactions Other topics
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? Contribute to a deeper understanding of the composition of the crust of the earth? Explore how to benefit from recent research in foundational neural models that learn from large unlabeled image datasets, also
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. Project description The position is funded by EU Horizon and part of the Marie Sklodwoska-Curie Doctoral Network NeuroNanotech : ‘Integrating Nanotechnology and Neurocomputational Modeling for Advanced
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candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control
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-model bacterial species (ideally in a BSL-2 environment), mass spectrometry (ideally in combination with chemical crosslinking or other pulldown assays), or cell-culture based infection assays with BSL-2
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currently popular models, suggesting that a first cosmic CO detection could be imminent. COMAP is led by Caltech, and is supported by an international collaboration that includes University of Oslo, NASA’s