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-disciplinary expertise and activities in the following domain: Computational methods for bioengineering Topics of focus include (but are not limited to): Automation and robotics Genomics Biological imaging
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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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, SHS, moisture absorbing polymers, etc.) and varying fertilizer and irrigation regimes. Experience in statistical methods is a huge plus. Ability to quickly test hypotheses via pot-scale studies
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varying fertilizer and irrigation regimes. Experience in statistical methods is a huge plus. Ability to quickly test hypotheses via pot-scale studies (greenhouse and/or laboratory) and implement in
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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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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