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Process data and information at massive scale as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with machine learning technologies. Experience with implementing machine learning pipelines using TensorFlow, Numpy, Scikit-Learn, OpenCV, DVC, W&B, TFLite, SNIPE, SHAP, UMAP, or ART.
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The curriculum includes beautiful albums of age-appropriate culinary arts, purposeful movement for outdoors and indoors, and exploration of different art forms to engage children in creative learning.
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Associate of Science degree in Clinical Laboratory Science, biological, chemical or related science. Ability to work in harmony with other personnel; Demonstrates basic computer literacy; Demonstrates comprehension, skill and command of oral and written English Language communication; Ability to follow and execute oral and written instructions; Demonstrated knowledge and understanding of basic Microbiology concepts and technical procedures; Must be able to work with minimal supervision.
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Provide advice and guidance to senior management on technical advantages and disadvantages of multimedia formats and styles; and the most effective industry methods and practices for designing nontraditional course material for international audiences that is presented using multimedia platforms and learning management systems.
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PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics.
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Degree in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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We integrate off the shelf and new development efforts to sustain and enhance the NMEC architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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A baccalaureate degree from a regionally accredited college/university, including 16 semester hours (24 quarter hours) of biological science (with one semester in microbiology), 16 semester hours (24 quarter hours) of chemistry, one semester (one quarter) of mathematics, -and- one year of full time acceptable clinical laboratory experience in Blood Banking, Chemistry, Hematology, Microbiology, Immunology and/or Clinical Microscopy within the last ten years.
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The individual must have excellent communication skills and be able to work well with company senior management, program managers, science and technology SMEs, IT professionals, as well as HR and administrative personnel.
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DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation.
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Bachelor's Degree in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields (strong mathematical/statistics background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint) preferred.
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Machine Learning Engineer. Intelligent Automation, Inc. (IAI) is looking for a junior to mid-level team member to contribute to a variety of machine learning, deep learning, and big data projects.
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Experience in the use of Microsoft PowerPoint, Adobe Illustrator CS, Captivate, Storyline, Photoshop CS, InDesign, Premiere, Audition, Macromedia Flash, Visual Basic, 3D Studio Max, Learning Management Systems such as Blackboard or Moodle, preferred.
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Relevant cybersecurity certifications or the ability to obtain certifications such as Certified Ethical Hacker (CEH), GIAC Certified Incident Handler (GCIH), CERT Certified Computer Security Incident Handler (CSIH), GIAC GSEC, or CompTIA Cybersecurity Analyst (CySA.
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Demonstrates a positive outlook on safety, lifelong learning, professionalism, and patient experience throughout the program Work Schedule: Six week CNA training program, (8a-4p, M-F) concluding with certification once trainee completes all training program requirements.
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machine learning computer science electrical jobs Title: senior machine engineer in Rockville, MD
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