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SCI clearance- BS Degree from an ABET accredited school in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a closely related field and 8+ years- Strong familiarity with the principles of related disciplines such as Computer Vision, Natural Language Processing, Machine Learning, Predictive Modeling, Statistical Analysis, and Hypothesis Testing.
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Stay informed about industry developments, emerging trends, and best practices in Medicare Part D and actuarial science, and provide thought leadership and strategic insights to the organization.
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Bachelor's degree (B. S.) in Chemical, Mechanical, Environmental/Civil Engineering, and or related Atmospheric/Environmental Science from four-year College or university. The candidate will have experience with complex projects including emission inventories, applicability assessments, permitting (NSR/NANSR/PSD), NESHAP/MACT, air quality dispersion modeling, and direct discussion with clients and Agency personnel.
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Track record of diving into data to discover hidden patterns and solving problems with data science. This involves solving complex indexing, infrastructure, ranking, and modeling problems.
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Most IPs will complete a master’s degree in C4I, space, information systems, computer science or modeling and simulation. Candidates seeking an Officer position in this community must have a bachelor’s degree from a regionally accredited institution in a technical field, preferably in one of following fields: Information Systems, Electrical Engineering, Computer Engineering, Information Operations, Computer Science, Systems Engineering or General Engineering.
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Licensed with the Board of Behavioral Science (BBS), LMFT, LPCC or Psychologist and qualified to provide Clinical supervision to Master’s level interns towards licensure. Teaching, modeling and supervising staff to Agency adopted trauma responsive practices and substance use disorder treatment services including but not limited to: the Aspiranet Core Practice Model, Attachment Regulation and Competency (ARC), Youth Thrive / Strengthening Families Protective Factors Framework, Community Resiliency Model (CRM), Life Space Coaching and Crisis Intervention (LSCI), Professional Assault Crisis Training (ProAct) and Motivational Interviewing (MI.
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Network Security, Cryptography, Database Structure and Management, Machine Learning, Data Modeling, Data Storage/Interfaces, Electrical Communications, Image. Patent Classification Specialist - Computer Science page is loaded.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Experience in developing AI/ML based products with exposure to advanced analytics, predictive modeling and machine learning features. Major(s): Any of these or related: Computer Science/Engineering, Software Systems, Management and Engineering, Information and Data Management, Artificial Intelligence, Business Management, Business Finance.
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Bachelor's in Computer Science, Computer Engineering. ne w t echn olo g i e s. Informatics, Video Encoding/Decoding, Virtual Reality, Virtual Machines, Cloud Computing. We are looking for an excited, inquisitive Research Analyst/Patent.
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Experience and/or significant course work in any of the following areas: Network Security, Cryptography, Database Structure and Management, Machine Learning, Data Modeling, Data Storage/Interfaces, Electrical Communications, Image Recognition/Processing, Medical/Business/Fintech Informatics, Video Encoding/Decoding, Virtual Reality, Virtual Machines, Cloud Computing.
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Must reside within a commutable distance to one of our office locations: Ann Arbor, Alexandria, Philadelphia or Chandler. PCS) to join our Patent Search and Innovation Intelligence Services Team! CPC) syst e m and United States Patent Classification System (USPC.
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You will primarily work in Water Resource Recovery (Water/Wastewater Treatment) facilities design, however, the architectural range for building typologies may include experience in Transportation, Science and Technology, Health Care, Corporate Commercial, Higher Education or Mission Critical facilities.
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Experience with modeling multi-physics devices and systems using modern commercial simulation tools (COMSOL, ANSYS, Matlab/Simulink, TCAD, etc. The ideal candidate will have a MS or PhD degree in mechanical engineering, electrical engineering, materials science, physics or a related field with 20 or more years of experience.
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Must reside within a commutable distance to one of our office locations: Ann Arbor, Alexandria, Philadelphia, Kansas City, or Temp. th e Coo pe ra t ive Pa ten t C l ass i fi c a ti on r u l e s a n d d e fini t ions.
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