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, numerical optimization, numerical partial differential equations, and parallel computing. The Researcher will join a project developing parallel high-order meshing algorithms from medical images and parallel
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of Assistant Professor in Computer Science with a focus in areas such as (but not limited to) Cybersecurity, Formal Methods, Algorithms, and Artificial Intelligence. Successful candidates are expected
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. This project employs massive-scale genome sequencing, data that will enable a wide range of novel, independent projects. The project also involves a substantial theoretical component including algorithm
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research, creation of algorithms and designs, statistical analysis, study protocols, data system development or other data collecting and gathering methodologies. The Assistant Research Professor may serve
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projects. The project also involves a substantial theoretical component including algorithm development. The breadth of the project and the depth of the data we are collecting allow for a range of questions
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researchers will develop computational workflows and incorporate resilience assessment algorithms into a decision support platform using Jupyter notebooks. The work will include development and use of virtual
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techniques relevant to neutrino oscillation experiments. Experience and ability in particle physics data analysis. Experience and ability with algorithm development and C++/Python programming languages. Good
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, upgrades/development and/or operation. Experience in the development and/or training of machine learning algorithms. Good communication skills. Contact Information to Applicants Professor Elliot Reynolds