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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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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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Required Technical Skills : Knowledge/experience in one or more of the following:Back-end Development: Experience with Java, PythonFront-end Development: Course or internship experience with UI/UX design concepts and frameworks (CSS/HTML, JavaScript ie Angular, Vue, Reacts) Experience with data engineering or machine learning technologies.
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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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One or more AWS Certifications: AWS Solution Architect Associate, AWS Database Specialty, AWS SysOps Administrator - Associate, AWS Machine Learning Specialty. AWS Machine Learning. Lead a team of Cloud Architects, DevOps Engineers, and Assessment and Authorization (A&A) practitioners (ISSE and ISSO) to reimagine, re-engineer, and re-host legacy core data system into a state-of-the-art, cloud-native design, capable of scaling and extending to meet the needs of the next generation war fighter.
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The department’s research portfolio is thriving, with faculty actively engaged in research in a diverse range of fields such as bioengineering, communications and networking, computer engineering, controls and robotics, cyber-physical systems, cyber security, digital forensics, machine learning, nanoelectronics, power systems, signal processing, and space-based systems.
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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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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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Expertise implementing machine learning models into cloud native environment and utilizing containerization platforms such as AWS Cloud Containerization services, Docker, and others. What you'll do: Provide TS/SCI machine learning model integration into R&D environments Install, configure, and maintain Linux servers while ensuring system performance, security, and stability.
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The SDS should have expertise and/or experience in implementing deep learning or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer.
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We provide vertically integrated capabilities in satellite technology, development and operations; innovations in Earth observation; advanced geospatial analytics and insights from machine learning.
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In this position you will research, develop, and deliver algorithmic, machine learning, and artificial intelligence based approaches to solve complex sponsor problems. The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters.
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Strong understanding of machine learning concepts and algorithms, including deep learning frameworks, reinforcement learning, and natural language processing. Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying machine learning models at scale.
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To enable this, The Aerospace Corporation is focusing on critical technologies such as artificial intelligence, machine learning, photonics, optical communications, additive manufacturing, electric propulsion, as well as new tools in modeling, simulation, cloud computing, and digital engineering.
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At AWS, we're hiring experienced Machine Learning Engineers with a background in NLP, generative AI, and document processing to help our customers understand, plan, and implement best practices around leveraging these technologies within their AWS cloud environments.
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machine job Company: Infor in Chantilly, VA
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