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unsupervised learning methods & (2) developing novel algorithmic approaches to advance diagnostic, prognostic, and treatment strategies in cancer. In addition, the individual will be asked to develop computer
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discounted rates plus onsite cafés and eateries, and more. For more information on our Benefits, please visit https://www.canterbury.ac.nz/joinus/benefits/ This role sits within the Academic Staff, Associated
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, APIs, and SDKs by reading documentation • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Experience with common data
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aesthetics • Digital rights, privacy, and ethics of computation • Race, gender, and technology • Algorithmic bias, equity, and social justice • Design for Accessibility • Bio-art, Art–science, Data
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aesthetics • Digital rights, privacy, and ethics of computation • Race, gender, and technology • Algorithmic bias, equity, and social justice • Design for Accessibility • Bio-art, Art–science, Data
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in the following areas: Computer Science, with emphasis in software development, algorithms, data structures, programming languages, and operating systems; and/or Cyber Defense, with primary emphasis
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, and oceanographers. For more information about the department, visit us on the web at https://cos.gmu.edu/aoes/. For more information about the College of Science, go to https://science.gmu.edu . About
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benefit as a part-time student. Additional information about Information Technology at S&T can be found at http://it.mst.edu/. Our ideal candidate: Learns and adapts to new environments quickly Follows
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with research interests in FinTech (including cryptography and blockchain, AI, data visualization, analytics, business modeling, process automation, algorithmic trading, technology forecasting and
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. Job Description: Job Duties Lead the design, development, and implementation of novel machine learning and statistical algorithms to analyze "big" medical data. Develop and validate robust predictive