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G. Expertise in any of the following areas: high-entropy materials, disorder, phonons, magnetism, catalysis, machine learning/artificial intelligence, database/API development, aflow.org repositories.
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Experience with data science, machine learning, and/or artificial intelligence. Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers' mission to defend against evolving threats around the world.
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The institute is dedicated to the application, understanding, collection, and risks of data and the development of machine learning and artificial intelligence systems across a range of critical and emerging fields, from neuroscience and precision medicine to climate resilience and sustainability, public sector innovation, and the social sciences and humanities.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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Proven experience (3+ years) as a Machine Learning Operations Engineer with a focus on NVIDIA Triton. Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines Familiarity with the AWS cloud platform Previous experience in the deployment of machine learning models in production environments.
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As the Learning & Development Manager, you will design and deliver a variety of professional development and learning opportunities aligned with The Arc’s strategic plan, culture, and person-centered philosophy.
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Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science.
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Demonstrates proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areasStrong experience using modeling tools such as Python, SPSS, R, Matlab Demonstrated experience in the following: Uni and Multivariate Data Analysis, Application of predictive models, market segmentation and cluster analyses, time-series analysis, advanced regression modeling.
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Proficiency in e-learning authoring tools (e.g., Articulate Storyline, Adobe Captivate). Experience with ERPs such as Workday, PeopleSoft, or Oracle Cloud ERP, Learning Management Systems, MS Teams, Adobe Presenter, or similar application, digital content development, survey tools (Ex Qualtrics, Survey Monkey.
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1+ years of experience as an instructional designer, e-learning developer, or related role, with proficiency in Articulate Storyline. Course Design: Design and develop interactive e-learning courses using Articulate Storyline, incorporating multimedia elements, assessments, simulations, and interactive exercises.
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Commit to professional learning on culturally responsive teaching, mind/brain/education pedagogies, restorative practices, and racial justice training. Teaching pedagogy should honor Quaker values and the Teaching and Learning Paradigm of Friends School.
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5+ years of commercial production experience building and deploying multiple machine learning models (clustering, decision tree learning, artificial neural networks, etc.) Extensive knowledge, application, and experience in creating and implementing recommendation systems, machine learning, NLP, statistics, and deep learning.
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Equipment utilized may include, but is not limited to monitoring equipment, surgical instruments, cardiac output machine, pulse oximeter, ECG machine, intra-aortic balloon pump, AngioJet, etc.
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Continuous Learning: Stay up-to-date with the latest advancements in SiC technology, power electronics, and energy systems through continuous learning and professional development. Simulation & Modeling: Perform simulations and modeling of electrical circuits and power systems using industry-standard software tools such as SPICE, MATLAB/Simulink, or PLECS. Prototyping & Testing: Support the prototyping and testing of power electronics systems, including PCB layout, circuit assembly, and laboratory testing.
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Across North America and all over the world, Mathnasium Learning Centers are committed to helping students achieve their full potential in math. Maintain a safe and professional learning environment.
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machine learning artificial jobs Company: Jpmorgan Chase Co in Elkridge, MD
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