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Field
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. Statistical Analysis, Modeling, and Analysis Planning (20% initially, increasing to 45% as the project progresses) Develop, draft, and implement analysis plans that outline statistical methodologies, algorithms
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to achieve the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D
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Center’s mission is to create the theoretical, computational and algorithmic paradigms that will enable us to understand the programs of life and how they connect across scales, from proteins to cells
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for engineering-driven AI innovation. Ideal candidates will have: (1) A PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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change how we explore space by developing innovative theories, algorithms, and technologies. Position is contingent upon availability of funds and proper Visa paperwork, to be able to work in US. Position
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. Responsibilities Design, implement, and assess advanced underwater acoustic modeling techniques and algorithm development across various disciplines such as signal processing, statistical inference, propagation
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. CBQB is committed to lead major discoveries in disease mechanisms, novel diagnostics and therapeutics, as well as development of devices and algorithms that will improve health, with lasting impact to
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methods development, novel algorithm development and/or in-depth data analysis that facilitates and integrates implementation, visualization, and database management of multi-dimensional clinical and
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undergraduate courses related to programming language, operating systems, computer architecture, data structures, and/or algorithms. Participating in service-related activities, such as serving on departmental