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The Department of Information Sciences and Technology (IST) has 45 full-time faculty members with diverse areas of research focus including cybersecurity, data mining and machine learning, natural language processing, human-centered computing, ubiquitous and mobile computing, cyber-physical systems, and engineering education.
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They have opportunities to work with AE faculty and NASA engineers to design, build, test, and launch microsatellites like the , participate in the design, building, and testing of our brand new hypersonic facility, learn how to use machine/deep learning for structural health monitoring, optimize spacecraft trajectories or explore the potential of electric and hybrid propulsion systems for general aviation, commuter, and large air transports.
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Evangelize future data science solutions identified by Enterprise Data leadership, including innovations such as: machine learning, statistical modeling, feature discovery/selection, optimization, exploratory data analysis, data mining and pattern recognition.
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Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus. Preferred A demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred.
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A Master's degree in a relevant field, plus (1) years related experience; or A Bachelor's degree in a relevant field, plus (5) years related experience; (Relevant fields may include STEM Degrees, Data Science, Computer Science, Statistics, Systems Engineering, Information Technology, or comparable.
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In addition to general computing labs, the department houses several specialized research labs in graphics & VR/AR, Cyber-Physical Systems (CPS), Active Cyber Infrastructure and Defense (ACID), Theory and Algorithms, Machine Learning (ML), networks (DECENT), Big Data Management and Mining Laboratory (BDLab), Mobile and Pervasive Systems Lab (MAPS Lab), and Parallel and Distributed Systems (PDS.
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With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing.
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5+ years of experience in HR systems, machine learning, and automation within an HR context with proven track record of delivering successful projects and solutions. Work closely with HRIS team to build and deploy machine learning models for predictive analytics, workforce planning, and employee engagement.
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Cyber relevant experience in Artificial Intelligence (AI) to include: AI Security, data engineering, and machine learning models. Demonstrated experience and application of one or more of the following fields: data science, machine learning, information theory, and streaming and behavioral analytics, and network protocols.
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We are seeking a Manufacturing Process Engineering Manager for the Machine Shop. You will work with innovative processes for various spaceflight systems. Experience establishing and transition processes from initial Engineering and Manufacturing Development (EMD) phase to full rate production (FRP.
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Support automation hardware and software within the plants (Allen-Bradley/Rockwell and Siemens) including Programmable Logic Controllers (PLCs), Human Machine Interface (HMIs), Variable Frequency Drives (VFDs), industrial networks and other various electrical systems.
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The reactor operator will also assist human factors engineering (HFE) and human-machine interface (HMIs) teams with the development of the plant and engineering simulators. The position is offered by SMR LLC as a member of the Holtec International family, a global turnkey supplier of equipment and systems for nuclear, solar, geothermal, and fossil power generation sectors of the energy industry.
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Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related fieldAt least 3 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environmentsStrong programming skills in at least one language (Python, SQL, Spark, C.
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Master's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems or related field(s.
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Bachelor's degree in electrical engineering, robotics or robotic engineering, computer science, computer engineering, software engineering, systems engineering or related technical field.
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systems engineering machine learning jobs Title: data engineer Company: Amazon in Parkville, Maryland
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