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These are difficult hands-on engineering challenges that integrate biophysics, image processing, deep learning, novel electronics, ultrasound, and real-time signal processing that can only be solved with a tight-knit multidisciplinary team.
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Deep Learning: Understanding neural networks, backpropagation, architectures like CNNs, RNNs, transformers, and tools like TensorFlow, PyTorch, or Keras. Linear Algebra: Understanding of deep learning algorithms.
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Additional activities include: learning and staying informed on the complex and comprehensive Research & Learning product line; learning and following a comprehensive sales process; updating and managing sales pipeline information for an assigned list of accounts; managing time and resources effectively; representing Wolters Kluwer within the industry and territory; and contributing to sales planning and forecasting activities.
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Experience with at least one Deep Learning framework such as PyTorch or TensorFlow/Keras. We are looking for machine learning experts with strong experience in Deep Learning that want to be part of a team that has an opportunity to make a significant impact.
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A law firm is seeking a Renewable Energy Project Development and Finance Associate Attorney in Washington, DC. The Renewable Energy Project Development and Finance Associate Attorney will work with clients in the clean energy industry on projects across the United States.
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Draw on deep technical knowledge and subject matter expertise to advise clients in multiple areas, including clinical psychology, psychiatry, neuroscience, and psychometrics, with an eye toward applications, such as digital mental health, psychological wellbeing, and predictive analytics and machine learning for personalized medicine and prevention.
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6+ years of professional experience in NLP systems, predictive modeling, recommendations/personalization, clustering, classification, sentiment analysis, time series, and deep learning. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
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Sustained (e.g., at least 10 years), hands-on experience with: data modeling and data engineering, feature engineering, model lifecycle management, and cloud infrastructure; supervised and unsupervised deep learning algorithms.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We are looking for a hands-on software engineer with deep knowledge of Microsoft Power Apps/Power Automate, including basic Microsoft Dynamics 365 understanding. Hands-on experience with SharePoint Online to include creating custom workflow solutions, and PowerApps / Power Automate (M365 Suite of Products.
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Responsible for the Division’s monthly forecasting cycle, including building and maintaining Excel models and submitting forecasts into the Hyperion Financial Management tool (focused on Orders, Sales, Cost Base, Operating Income and Free Cash Flow.
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As the finance and accounting subject-matter on the senior management team, this individual must possess a deep understanding of and significant experience complying with nonprofit accounting principles.
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Requires a bachelor's degree in finance, Accounting, Business Management, or Information Technology (or related field) from an accredited college/university, and five (5) years of hands-on experience in Microsoft Power BI reports and SQL Server Database.
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1+ years of hands-on experience in professional or academic setting with cooperative autonomous driving and sensor simulation tools, (e.g., CARLA, LGSVL, CARMAKER, or similar). 2+ years of hands-on experience in professional or academic setting with at least one of microscopic traffic simulation tools (e.g., SUMO, Vissim, Aimsun, Transmolder, or similar.
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Machine Learning Engineers at CoStar play an important role in this process, by mining data from sources including billions of pageviews, millions of images, vast geographic data, deep property content, and much more.
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Hands-on experience or familiarity with CARMA ecosystem (e.g., CARMA platform, CARMA streets, CARMA messenger, and CARMA Cloud) Conduct research on a variety of transportation engineering projects, which encompass traffic simulation, CDA, Digital Twin, V2X, CV, safety, and Intelligent Transportation Systems (ITS.
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deep learning hands on finance sales jobs Company: Apple in Bethesda, MD
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