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Maintain community awareness to inform and develop unique uses for artificial intelligence, automation, and augmentation technologies (AAA) for human geography exploitation. Collaborate with Intelligence Community (IC) Agencies and Open Source Libraries to identify and acquire information/sources required concerning the analytic process to create and exploit human geography datasets such as cultural, socio-economic, population, political, historical and religious activities, terrain, land cover and soil data.
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New faculty are expected to participate in designing and teaching a modern materials science and engineering curriculum, with expanded topics in quantum science and engineering, both at the undergraduate and graduate levels within the Department.
$11,000 - $15,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in autonomous and collaborative systems, hypersonics, calibration of radar and/or EO/IR sensors, or Artificial Intelligence / Machine Learning. You will perform critical radar and/or electro-optic/infrared (EO/IR) system trades, resolving complex signal processing problems, and advising program and engineering management teams in pursuit of organizational business targets.
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We are looking for a threat intelligence analyst who is passionate about securing the desktop computing environment, loves macOS, and is committed to driving security investigations and improvements in macOS. At Apple, our mission involves securing and protecting over a billion endpoints; operationalizing threat intelligence into security engineering decisions affecting every layer of the stack; and touching the lives of everyone who interacts with our products.
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The Chief Data Official and Director of Data Engineering and Artificial Intelligence is responsible for leading our data and artificial intelligence strategy, and execution of related programs and practices that drive measurable business outcomes.
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The successful candidate will collaborate closely with University researchers to develop novel interactions between computational and biological sciences by applying the tools of multi-omics high-throughput data generation, statistics, computational modeling, and artificial intelligence to the understanding of biological interaction networks with biomedical applications.
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7+ years of data engineering experience, including in senior and team leadership roles, at peer firms utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.
$103,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience and wide-ranged technological knowledge Data Science, Machine Learning, Artificial Intelligence, and Security in a PCI/SOCII compliant environment. Provide technical leadership for best practices across the technology stack, Data Science, Machine Learning, Artificial Intelligence, and Security.
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Experience in machine learning or artificial intelligence work is critical, with cheminformatics, computational chemistry, and/or molecular modeling experience a plus. The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientist with an interest in the use of artificial intelligence and machine learning for molecular design.
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Reengineer legacy processes to be compatible with modern data processing frameworks like Azure Databricks. Stay updated with the latest industry trends and best practices in data engineering and cloud technologies.
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Must have 4+ years experience in pre-sales engineering of Microsoft Modern Workplace solutions. Keywords: Microsoft teams o365 m365 Office 365 modern workplace IPT telephone collab collaboration intune onedrive sharepoint voice voip system engineer architect IT mcse cisco avaya MCTS, MCM, MCSA, MCSE #thetrevigroup.
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As a full-stack data scientist, you will use your expertise across machine learning, software engineering, and business analytics to build end-to-end solutions that scale across our broad portfolio, embody CI/CD standard processes for continuous operations/improvements, and provide prescriptive actions to some of the most exciting problems in the mobile gaming space and beyond.
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As a Business Intelligence Manager, you will own the delivery of actionable insights to inform data-driven decisions on sales & marketing strategy, and increase efficiency of our go-to-market operations.
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Applying expertise in multiple modeling methodologies including survival analysis, transition rate modeling, time series analysis, credit scoring, Monte Carlo simulation, Artificial Intelligence/Machine Learning techniques such as neural networks and tree based algorithms etc.
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Collect and analyze threat intelligence data from various sources, including open-source intelligence, social media, and internal sources. We have an immediate need for a Cybersecurity Analyst to join a healthcare company for a contract to hire position that will by hybrid in Phoenix, AZ. This role will support the Enterprise Network Operations Security Center and Service Desk with threat intelligence data collection and analysis, research cyber threats, and participate in incident response.
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