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Field
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and
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| Mechanical and Aerospace Engineering Perform basic research in computational fluid dynamics, including problem setup, simulation and advanced post-processing for multiple projects. Emphasis to be placed
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with Neutrons. Jason Fry’s group has worked on significant contributions to Nab and BL3 and supports their experimental efforts through work from the PI and undergraduate students through multiple NSF
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world networks have a multidimensional nature such as networks that contain multiple connections. For instance, transport networks in a country when considering different means of transportation
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multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and their dynamics. Conducting literature searches, manuscript preparation, and
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organisational and time-management skills, with the ability to manage multiple tasks. The ability to work both independently and as part of a collaborative team, often across disciplines. A demonstrable interest
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individuals who have: Strong organisational and time-management skills, with the ability to manage multiple tasks. The ability to work both independently and as part of a collaborative team, often across
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individuals who have: Strong organisational and time-management skills, with the ability to manage multiple tasks. The ability to work both independently and as part of a collaborative team, often across
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borehole electromagnetic data during drilling. This includes the further development and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed