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Field
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equivalent experience (e.g. graduate school or industry experience). • Substantial experience coding in Python and R. • Strong understanding of algorithms, data structures, and computational theory
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scale. Test methods for calibration corrections and noise reduction in retrieved data. Test algorithms for retrieval of sea surface temperatures from infrared radiances. Test algorithms for cloud masking
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Bard College Apply Here:https://apply.interfolio.com/173494 The Bard College Computational Sciences program invites applications for two tenure-track Assistant Professor positions, with a focus on
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Majors: -Computer Science -Network Technology -Information and Computer Technology -Software Engineering Analytics and documentation skills are a bonus. Understanding of pseudo-code, designing algorithm
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Education Alliance (SEA) program, comprehensive educational tools and resources developed and managed through the BioInteractive program, and student-centered initiatives managed through the Success in
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and with this GSI position. Please include your University Department/Program and year in graduate studies. Course Description CSC 335 - Computer Networks I CSC 275 or CSC 276 required, MTH 118 or MTH
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comprehensive capabilities in conducting sophisticated fluid dynamics data analysis. This job includes aerospace-related machine learning algorithms. Specific duties include data analysis from wind tunnel
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’ experience working with big data or omics data. Background and work knowledge in algorithms, scientific computing, and machine learning or statistics. Familiar with Python, Matlab, and R computing languages. 1
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ground. Here the atmosphere is to be characterized as a complex random medium with spatial-temporal fluctuations. Advanced computational techniques are needed. (2) Acoustic remote sensing
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results e.g.,Rshiny, d3, plotly, ggplot2. A solid understanding of statistics and experience in the implementation of machine learning and statistical inference algorithms. Experience building web