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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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Ii) develop of machine learning and computational discovery methods for public health research. Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data.
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The Preschool Assistant Teacher will work closely with the Lead Teacher in developing and implementing an engaging and stimulating learning environment for preschool-aged children. Title Assistant Teacher, Marymount Early Learning Academy (ELA) Direct Supervisor Director, Early Learning Academy Status Full-Time, Exempt Grade 8 Job Profile 00241 Division Academic Affairs No. Direct Reports TBD Target Weekly Hours 40 Location 2807 N Glebe Road, Arlington, VA Benefits Eligibility Yes JOB SUMMARY Marymount University seeks experienced & passionate Assistant Preschool Teachers to join our team for the opening of the new Marymount Early Learning Academy (ELA) in September 2023.
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Position:Monitoring, Evaluation and Learning Manager – Integrated Land and Resource Governance II Location: Washington, DC Metro Area Position Status: Proposal, Full-time, Regular About DAI DAI works at the cutting edge of international development, combining technical excellence, professional project management, and exceptional customer service to solve the most complex development problems.
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Uses Special Education Data System to create documents and complete all case-management tasks in compliance with IDEA and OSSE laws and regulations. The Special Education Teacher/Learning Specialist is a member of the school's instructional staff and Academic Unit. Essential Functions & Accountabilities: Develops solid knowledge of the Montessori Learning Standards, Curriculum Maps, Scope and Sequence and all other grade-level curriculum in each content area taught, including the essential information, concepts and skills so as to better support students and assist classroom teachers.
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Understand and apply concepts associated with data modeling, machine learning, and artificial intelligence (AI) and their application in client workflows. Become familiar with common data collection, cleaning, analysis, and visualization technologies including, but not limited to, Python, R, SQL, Cypher, Power BI, Tableau, etc.
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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Experience with insider threat detection tools, data loss prevention (DLP) solutions, and security information and event management (SIEM) systems. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
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Validating and training AI machine learning models with annotated training sets in tuning accuracy of the AI models for CLM use cases;Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure;Demonstrating knowledge of Azure Blob storage, Azure Service Bus and Azure Key Vault cryptography;Designing solutions for custom applications using the Microsoft.
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As part of a growing team this role will have the ability to leverage and work with new capabilities as they are deployed including deception infrastructure, continuous penetration testing, data loss prevention (DLP), and machine learning capabilities.
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CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms.
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The ML/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion.
$112,000 - $179,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Booz Allen's Digital Battlespace Team is seeking an experienced full-stack machine learning engineer to build innovative new applications and products in the defense market. 5+ years of experience in software development and machine learning delivering high quality, scalable, and maintainable solutions.
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Are you a machine learning (ML) engineer or data scientist with development skills who relishes the opportunity to leverage and deploy AI models within a solution? Experience with data engineering and data workflows using cloud-native solutions or tools, including Airflow, Luigi, or Prefect.
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machine learning data mining jobs Title: machine learning scientist in Mclean, VA
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