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Specifically, the candidate should have expertise in MRI physics, MR pulse sequence development, image reconstruction, machine learning, and a high level of proficiency in analysis of imaging data.
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Candidate knowledge of Canvas, Zoom, non-linear video editing software, and audio editing software is required, as well as knowledge of emerging technologies as related to teaching and learning.
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Assist with intraoperative TEE. Responsible for performing, archiving and calculations of all pediatric cardiac ultrasound imaging by using appropriate machine optimization, probe selection and patient positioning.
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Knowledge of big data analytics: supervised/unsupervised machine learning, neural networks, deep learning, streaming & batch analytics. We anticipate, lead, and believe that listening is where learning begins.
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HCM BSA: Experienced with support and implementation of the following Oracle HCM modules from Hire to Retire: Core HR, Payroll, Benefits, Time & Labor, Talent, Learning, Workforce, Recruitment & Onboard, Absence.
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You will work with over 35 OEM machine brands and handle equipment such as P&H cranes/hoists, conveyors, furnaces, large part washers, ABB robots, and CNC machine tools. The ideal candidate will handle automation machine tool electrical maintenance, working on a variety of CNC equipment including CNC mills, CNC lathes, CNC machining centers, and robotics.
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Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, RNNs, CNNs, etc.) Understanding of the Python programming language and associated machine learning libraries/packages (sklearn, Tensorflow, PyTorch, statsmodels, etc.
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The College of Law will support adjunct faculty in these areas by providing training, course design expertise, and learning management system support. Because the educational program will strive for excellence in developing practice-related competencies, adjunct faculty members will be expected to follow the instructional and curricular practices of the College of Law, including use of the Canvas Learning Management System, learning outcomes, multiple assessments, and research and writing modules within a course, as appropriate, with support from other faculty as well as research librarians.
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Facilitation of Learning: Facilitates learning for patients and families, nursing staff, other members of the health care team and community; integrating appropriate education throughout the continuum of care to help them participate and/or make informed conclusions about their health care and treatments, including health promotion and disease prevention.
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The eLearning Developer will engage and collaborate with various sponsors including Editorial staff, and Learning & Development colleagues. This role will assist with the of leverage adult learning theories, instructional design principles, and user experience best practices for the continuous improvement of Simplify Compliance learning assets.
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Familiar with model deployment techniques (e.g., Docker, Kubernetes) and CI/CD pipelines tailored for machine learning models. Knowledge of scalable architectures and cloud computing platforms (e.g., AWS) for deploying and managing Machine Learning applications.
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In HBM DEG (High Bandwidth Memory - DRAM Engineering Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence.
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Certified Artificial Intelligence Practitioner (CAIP), Google Professional Machine Learning Engineer. Stay updated with the latest advancements in AI and machine learning to continuously improve solutions.
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Modeling Expertise: Proven experience in predictive modeling, machine learning techniques, and developing robust data science models. Familiarity with machine learning libraries and frameworks, including pandas, NumPy, seaborn, matplotlib, MLFlow, scikit-learn, TensorFlow, and PyTorch.
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SANS GIAC (GCIA, GCIH, GREM, GCFA, GPEN, GCPN, GXPN, GMON, GCDA, GCTI, GRID, GDAT) or similar technical security certification(s). Research, develop, test, document and implement global threat detection content across one or more SIEM platforms and any tuning required post-implementation as prioritized based on emerging threats/TTPs, MITRE ATT&CK coverage, strategic planning or requests from other teams.
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machine learning jobs Title: level Company: Vector Marketing in Dallas, TX
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