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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Our team’s mission is to set standards by developing state-of-the-art tools that streamline biological data science; to conduct cutting edge research at the intersection of biology, machine learning, and statistics; and to create an ecosystem that unifies analysis tools and data into an atlas that powers search and insights across molecular, cellular, and clinical information.
$55 - $57 an hourInternExpandUpdated Today - UpvoteDownvoteShare Job
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Although all areas of electrical engineering will be considered, research emphasis will be on the following areas: power systems, power electronics, cybersecurity for power systems, and data analytics, machine learning, and artificial intelligence applied to power.
$95,000 - $130,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you’ll leverage Python, Scala to perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment as well as analyze performance and trade-offs to determine the best solution.
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SAIC’s National Intelligence Community (NIC) business unit, USG Mission and Information Technology division provides solutions and services supporting digital modernization programs in areas such as system engineering, multi-cloud computing, cyber security, data science and analytics, artificial intelligence/machine learning, quantum computing, application development, DevSecOps, cloud network operations and secure communications.
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Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack. Participate in the development and iteration of Ads algorithms by using Machine Learning.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Digital marketing and Search Engine Optimization (SEO) knowledge. Experience with data visualization and analytical tools. Use data and analytics to measure the effectiveness of communication efforts and make improvements based on the results.
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Post-doctoral research experience is desired as well as research or training in areas such as machine learning and/or deep learning in a biomedical context, signal processing and analysis for biomedical data, bioinformatics, computer vision, or other related areas.
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Our Data Science program is one of the fastest growing field in CIT. The ability to teach hands on graduate courses in general areas of Data Science such as Artificial Intelligence, Deep Learning, Distributed & Scalable Data Engineering, Machine Learning, and Natural language Processing.
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Additionally, Search Specialists work closely with Data Analysts in providing search support and implementing machine learning programs as part of our current information retrieval workflow.
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Strong understanding of relevant AI frameworks, tools, and programming languages (such as Python, Java, C , and Y) and the ability to apply data science and in-depth knowledge of machine learning, deep learning, natural language processing, and computer vision.
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Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithmsthat power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely on.
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Bioz is a Nobel Laureate backed Silicon Valley software startup company that has developed the world’s first citation-based semantic search engine for life science experimentation. The Bioz platform combines the work of scientists with advanced NLP and machine learning, to help life scientists in academia and biopharma make faster and smarter research decisions, ultimately speeding up drug discovery and increasing the rate of success in finding cures for diseases.
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
$133,000 - $194,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago
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