387 algorithm-development-"Multiple"-"Prof"-"Prof"-"SUNY"-"Embry-Riddle-Aeronautical-University" positions
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accurate completion. Algorithm Design: Design and implement algorithms for tensor completion, considering the unique challenges posed by sparse and multidimensional network data. This involves developing
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. An understanding of artificial intelligence (AI) algorithm development, particularly its application in animal behaviour, precision livestock farming. How to apply If this opportunity interests you, please submit a
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. An understanding of artificial intelligence (AI) algorithm development, particularly its application in animal behaviour, precision livestock farming. How to apply If this opportunity interests you, please submit a
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employment This is a 7-month position from October 1st, 2025, or as soon as possible. Job description You will participate in the ongoing development of an algorithm platform for digital shadows and twins
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Prior experience with machine learning tools Prior experience in developing algorithms such as particle identification, specific final state event selection, or object reconstruction Interest in student
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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
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Details Position Description The University of Washington, Department of Radiology, has openings for multiple postdoctoral scholar positions. The research projects will focus on advancing rapid
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of recommendation algorithms based on multiple data related to microorganisms and pathogens, and the implementation of the recommendation system on a testable platform. The work also includes the writing of technical
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of pediatric cancer patients and discover the impact of therapeutic exposure on development of secondary neoplasms in adult survivors. Position Responsibilities: Evaluate bulk-tumor deconvolution algorithms
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leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration