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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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Application documents: 1) Brief cover letter, explaining your motivation for applying, 2) Detailed curriculum vitae (including your email address), 3) Complete transcript of grades from all your university-level studies. We do not ask for more information/documents at this point (but you can...
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-resolution mass spectrometers and of developing cutting-edge methods, workflows and applications. You must have extensive and diverse experience in designing and optimizing experimental methods to fit specific
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We solicit applications for multiple positions(PhD, MS, MS–PhD, Agronomist, Field Engineer, Field Technician, and Postdoctoral Scholar) in Professor Himanshu Mishra’s research Group (Interfacial Lab
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positions (PhD, MS, MS–PhD, Agronomist, Field Engineer, Field Technician, and Postdoctoral Scholar) in Professor Himanshu Mishra’s research Group (Interfacial Lab) in King Abdullah University of Science and
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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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post-doc (micro-biology) and 5 PhD students at various stages of their projects. The area is part of the Red Sea Global Giga Project which aims to build a world class sustainable tourist development
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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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the candidate’s sub-area of specialization. An earned PhD in Mathematics or a related field, and strong publication record in top-tier journals are required. Senior candidates must have demonstrated exceptional
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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