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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Demonstrated experience using CUDA and NVIDIA GPU accelerated libraries for AI, machine learning, and deep learning. Demonstrated experience programming in other scripting languages, such as Bash. Demonstrated experience applying deep learning and machine learning processing libraries, including PyTorch, TensorFlow, Keras, and scikit.
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Four or more years with practical experience in developing natural language processing (NLP) and machine learning models. Stay up-to-date and share latest advancements in natural language processing, machine learning and educational technology.
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Hands-on experience with popular machine learning libraries and frameworks, (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, SciPy, etc. A candidate who will architect and implement machine learning and extract-transform-load (ETL) algorithms and conduct data integrity and validation actions.
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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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Collect and analyze data using statistical and Artificial Intelligence /machine learning algorithmsSupervise and assist undergraduate students working on research projects and act as a liaison/mediator between undergraduate students and the faculty researcher.
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As a Quantitative Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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In-depth knowledge of AI/LLM and machine learning architectures and best practices for securing them. Experience with health-tech systems, like Electronic Health Records, Clinical data, etc preferred.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Marks/tattoos appropriate body anatomy for daily re-positioning on linear accelerator; Documents or captures patient measurements and machine treatment parameters for dosimetry planning and calculations; Acquires Computed Tomography machine data sets for patient positioning, contours and set-up parameters.
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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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Be THE subject matter expert in leveraging the CrowdStrike Falcon Platform to perform reactive services, translating deep knowledge into persona-specific partner learning experiences. Collaborate with and provide subject matter expertise to partner learning professionals with the goal of upskilling CrowdStrike partners through enablement experiences, including live training, on-demand learning, video job aids, assessments, podcast education and train-the-trainer programs.
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Experience with machine learning and neural network frameworks on GPUs in Linux. Basic knowledge of deep learning frameworks and algorithms. An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP.
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This individual will work on exciting design projects and emerging-tech engagements and will focus on identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, augmented reality and digital transformation.
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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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machine learning jobs Title: expert Company: Infor in Mclean, VA
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