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Pearson VUE is a business of Pearson, the world's leading learning company with global-reach and market-leading businesses. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education.
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RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test & evaluation, model & simulation, or systems engineering, test engineering, radar modeling, or RF systems prototyping.
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This position is a Senior Scientist, Machine Learning reporting to the AD of Machine Learning, in Computational Drug Discovery at Fog. We are seeking highly talented and motivated people to contribute to the development of the Computational Drug Discovery group, a strategic function in Data Science that is part of Fog's platform discovery engine for HeliconTM stapled-peptide drugs.
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Support learning inside and outside of the classroom, both in person and online, promoting experiential and engaged learning in the context of the Tufts mission and areas of excellence such as civic engagement, sustainability, one health, and global learningEngage in scholarship focused on faculty development, teaching and learning.
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Hands-on experience with machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
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You’ll gain additional experience through other departments too – when the online orders are slow, you’ll get to spend time helping in other areas – talk about learning & growth opportunities! The In-Store Shopper not only helps our online customers but those in our store as well.
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Masters or Ph. D. with experience in Machine Learning/Statistics/Data ScienceExperience with traditional as well as modern machine learning/statistical techniques, including NLP algorithms, LLMs, and quantization strategies.
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Knowledge, skills, and experience to provide individualized, multi-sensory approaches to remediation of language-based learning challenges such as Orton-Gillingham, Wilson, Lindamood-Bell. A K-8 Learning Specialist supports students with executive functioning difficulties, a variety of learning disabilities, ADHD, and social emotional difficulties.
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ESS is comprised of six service groups: Teaching & Learning Support, Design & Engineering, Event & Media Production, Language Center, Assistive Technology Services, and Piano Technical Services.
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At VIA, you will play an integral role in the development of our advanced analytics solutions by building software to support modern web applications and services, powered by blockchain technologies and machine learning algorithms.
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Experienced in physics-based model and machine learning algorithm development applied in battery management system (i.e., SOC, SOH, RUL estimation) Develop physics-based models and machine learning algorithms for battery performance diagnostics (SOC, SOH) and prognostics (RUL.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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We oversee a vast array of complex projects across Software Development, DevOps and IT, Hardware and Electromechanical Systems, and AI and Machine Learning. You will be responsible for overseeing and managing complex, multi-disciplinary projects across Software Development, DevOps and IT, Hardware and Electromechanical Systems, and AI and Machine Learning.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Implementing and evolving our educational approach, which is rooted in social-emotional learning, STEAM (science, technology, engineering, art, and mathematics) curriculum, and nature-based learning.
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machine learning jobs Title: learning Company: Dice in Burlington, MA
FEATURED BLOG POSTS
Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
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.
10 Importancies of Setting Realistic Goals
We’ve all heard how important it is to set professional and personal goals. Developing and establishing goals keeps us motivated and moving forward in life. But not all goals are created equal. If you’re chasing goals that are too lofty, you’ll end up disappointed when you cannot reach them. Setting goals that are achievable and measurable is the key to success.
Email Etiquette Principles - Why is it Important
Why is email etiquette important? Let's imagine you're hiring for a new role, and you’ve just received the email below.
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"Nothing we do is more important than hiring and developing people."
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The world of work has drastically changed in the past few years. Where a good salary and a nice office might have been enough to attract talent in the past, employees today expect flexibility, growth opportunities, and a healthy work environment. In fact, 77% of applicants say they’d consider a company’s culture before applying for a job.
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!
4 Talent Acquisition Trends Going Into 2023
For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.