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to research, develop, and evaluate algorithms for a variety of geospatial, signal, and/or image processing applications. The successful candidate will have a solid background in computer science with strong
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pipeline to evaluate the accuracy of deep learning algorithms. Apply deep learning models to analyze large-scale molecular and cellular datasets related to high risk model of schizophrenia generated in our
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with state-of-the-art computing and artificial intelligence is needed because the algorithms used to simulate and interrogate the dynamics for even one cell type – which can comprise billions
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beyond ITER with advances in HTS materials, manufacturing, sensors and machine learning. High current density cables are required for the design of compact HTS magnets in a fusion pilot plant (FPP
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responsibilities? No Preferred Education/Experience Experience with wiring and working with sensors and automation systems as well as data analysis in R, Python or matlab. Engineering majors preferred. Deadline
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growth and development. This will entail sample collection and prep, Microscopy, using sensor and automation as instrumentation to carry out experiments, data tabulation and analysis. students will also be
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and responsibilities. Our online and in-person classes span theory, systems, artificial intelligence, algorithms, databases, data analytics, natural language processing, computer vision, graphics
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) and integrate crop–climate models (e.g., DSSAT) to support site-specific irrigation and fertilization recommendations; 3) integrate sensor-based monitoring systems for water table control and soil
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proteomic data by importing, examining, and running statistical analyses and modeling algorithms. Analyzes data from a variety of experiments and platforms. Interprets, draws conclusions, and discusses
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: Engineering | Biomedical Engineering The Department of Biomedical Engineering is seeking a Research Technician to work under the direct supervision of Dr. Buddini Karawdeniya on biomedical sensor development