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A BS degree in Computer Science, Management Information Systems, Computer Information Systems, Information Assurance, or a comparable field or equivalent years of professional relevant Security Engineering experience working with DoD IT enclaves, systems, and solutions.
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Familiarity with developing REST APIs Scripting with bash or Python Data science or data modeling experience CNO experience, or EOSA experience Location: Annapolis Junction, MD Salary: Based on Education, Years of Experience, Skill and Abilities Check Out Our Benefits: Paid Time Off Medical, Dental & Vision Benefits Life & Disability Insurance Tuition, Training & Certification Reimbursement 401K Contribution Employee Referral Bonus Program Equipment Reimbursement Team Engagement & Outings Swag.
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Students receive ongoing instruction in reading/English language arts, mathematics, science, social studies, physical education, health, music, fine arts and career development. Train classroom staff in the implementation of BIPs and data collection systems.
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The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. For the right applicant, opportunities may be available to move on to more complex programming, hardware, and equipment, such as; multi-axis CNC milling machines and routers, mill-turn machines, wire EDM, etc.
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Expertise developing physics-based simulations and applying data analysis to solve problems in materials science, chemistry, physics, or biology and the ability to contribute to development of those methods.
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Experience with data science, machine learning, and/or artificial intelligence. Experience with cybersecurity data from SIEM, Endpoint, Network, Threat Intelligence. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Knowledge of sustainability reporting protocols, including Carbon Disclosure Project (CDP) for climate and water, Greenhouse Gas Protocol, Sustainability Accounting Standards Board (SASB), Global Reporting Initiative (GRI), and Science-Based Targets Initiative.
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Your Profile / Qualifications Bachelor's degree in Occupational Health and Safety, Environmental Science, or a related field. Certification in relevant HSE disciplines (e.g., CSP, GSP, CIH, CHMM) is preferred.
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Provides relevant market data to the Chief Appraiser for input into the department databases. Prepares the appropriate validation documentation and create a department file containing the data and analysis considered which may include market data compiled and maintained in the department’s databases, or advise that a new appraisal or evaluation is required if the original reported market value is no longer valid.
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Bachelors of Science in Electrical Engineering, Chemical Engineering, Materials Engineering, Chemistry, Physics or other related technical discipline with 5 years of relevant experience (3 years with a MS, 0 with a PhD.
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Minimum Qualifications Current TS/SCI and a CI Polygraph Master’s degree in Data Science, Statistics, Computer Science, or a related field is preferred. The ideal candidate will possess a deep understanding of data science and analytics, particularly within federal government environments, and will leverage this expertise to deliver actionable insights and solutions to complex data-driven challenges.
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Leidos is hiring a Data Center Facilities Engineer at Ft. Meade, MD. Evaluate, design, and deploy the central components of data center facilities, including: power, cooling, physical security, floor space management, and cable management.
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We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts.
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data science jobs Title: data analyst in Fort Meade, MD
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