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generation of deep technology startups to solve critical societal problems. The Program Manager will have a wide-range of responsibilities to design and manage the programs and associated tasks. The position
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advanced statistical techniques: Probabilistic Programming, Gaussian Processes, Advanced Deep Learning methods, or Variational Bayesian methods. In addition to Python, familiarity with the Julia and C
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complex socio-technical solutions which solve various problems in technical and government domains. Able to provide attention to detail and learn or understand complex concepts at a level sufficient to
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for customers outside DIT and for minimizing spending by DIT. They engage in problem, business and technical analysis and will possess broad and deep skills across disciplines, serving as a mentor to others. This
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correlations. Experience with the AWS ecosystem. Experience with deep learning, reinforcement learning, and natural language processing. Experienced with software engineering processes and techniques. Documented
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the vetting of individuals and teams of individuals. The analyst will focus on attention to detail and learn complex concepts at a level sufficient to support note taking and understand project
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, learning, automated ontology/taxonomy creation, or 3D synthetic data generation and refinement. Utilizing statistical analysis, unsupervised machine learning, supervised machine learning, and deep learning
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of all types in the increasingly interconnected, diverse, and information-rich world. We encourage applicants who exhibit deep understanding of the social dimensions and issues, and employ data-driven
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and have an ability and interest in working with diverse student populations having a variety of backgrounds, learning styles, and skill levels. Preferences: Additional Certifications: Additional