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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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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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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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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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Strong knowledge of data architecture, data warehousing, business intelligence, data integration, data analysis, reporting, and/or machine learning. Drive design and deployment of the data and analytics workloads in Azure and optimize consumption of the platform by providing architectural (including, design, implementation, and deployment) guidance, within the current framework/model, and provide appropriate recommendations to overcome blockers.
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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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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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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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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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Learning & Development: Our lifelong learning philosophy means you’ll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities.
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Extensive knowledge, application, and experience in creating and implementing recommendation systems, machine learning, NLP, statistics, and deep learning. We are using our big data coupled with machine learning and AI to help highlight the path forward.
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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. Documentation: Prepare technical documentation, including design reports, test plans, and user manuals, to support project development and product deployment.
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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. Good judgement and emotional intelligence.
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5) Five years of full-time experience in the management of a learning management system (LMS), Brightspace preferred. Position Specific Essential Duties Develop, implement and oversee projects related to any aspect of the college’s Learning Management System.
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The alternatives team works closely with the other groups at Franklin Templeton including the investment managers, marketing, data intelligence and generalist sales. The Alternative Investment team at Franklin Templeton is responsible for the distribution of alternative investments offerings specifically to the wealth management channel.
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deployment machine learning intelligence jobs Company: Jpmorgan Chase Co in Baltimore, MD
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The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!