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filled. High priority will be given to the overall originality and promise of the candidate’s work rather than the candidate’s sub-area of specialisation. An earned PhD in Statistics or a related field
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: The candidate should have expertise in machine learning and computational methods applied to seismic imaging, inversion, earthquake monitoring, or subsurface characterization. The candidate should have expertise
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is to develop a modeling framework including the use of Random-Walk method to predict NMR measurements, pore-scale finite-element modeling on 3D digital models, generated from CT-images to predict
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PhD levels). The candidate will teach in the BioE curriculum and is expected to contribute to the current list of core courses and electives. The successful candidate is also expected to provide
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experience with molecular and cell biological methods. The applicant will work to advance our knowledge of viral vector production in versatility, stability and efficacy with modern techniques from plasmids