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Abundant and compelling resources include a cyclotron, whole body PET/CT and PET/MRI, 3 Tesla MRI, 3D modeling and printing, magnetoencephalography (MEG), small animal imaging, spectral-detector computed tomography, high-intensity focused ultrasound (HIFU), image processing and research PACS, and ongoing artificial intelligence and Deep Machine Learning, including access to high-performance computing facilities.
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Candidate knowledge of Canvas, Zoom, non-linear video editing software, and audio editing software is required, as well as knowledge of emerging technologies as related to teaching and learning.
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Strong understanding of automation technologies, such as robotic process automation (RPA), artificial intelligence (AI), digital factory and machine learning (ML). Be part of the global Integrated Supply Chain (ISC) Engineering leadership team driving factory improvements, product improvements for producibility and cost savings, manufacturing technology implementation, and new product development for Honeywell Aerospace.
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Knowledge of big data analytics: supervised/unsupervised machine learning, neural networks, deep learning, streaming & batch analytics. Challenge the way we work every day, constantly looking to improve processes, tooling and the product we deliver.
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OrganOx has been transforming organ transplantation since 2008, leveraging groundbreaking normothermic machine perfusion technology in our flagship product, the OrganOx metra®. Field Service Engineer, the postholder will be responsible for providing technical support for OrganOx metra retained units placed in United States to ensure that product reliability, quality and availability are maintained.
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Familiarity with serverless architectures and cloud functions (AWS Lambda, Google Cloud Functions, Azure Functions) to create cost-effective, scalable machine learning inference endpoints.
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Working closely with the Cartus branding & comms team (your direct peers) and cross-functional subject matter experts to develop short- and long-form multichannel content to support Cartus lead generation/nurturing activities and elevate our reputation for industry thought leadership, including but not limited to blog posts, podcasts, white papers, survey reports, video scripts/storyboards, product marketing materials, webinars, and social media campaigns.
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Familiar with model deployment techniques (e.g., Docker, Kubernetes) and CI/CD pipelines tailored for machine learning models. Knowledge of scalable architectures and cloud computing platforms (e.g., AWS) for deploying and managing Machine Learning applications.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Machine Learning/Deep Learning for imaging segmentation, registration, and classification. The research group has developed advanced MRI techniques to detect the early change of Multiple Sclerosis, Alzheimer’s disease, and ASD, including UTE, multi-component T2*, quantitative susceptibility mapping (QSM) and compressed sensing for high-resolution diffusion MRI.The candidate will be involved with: Developing novel high-resolution MRI (diffusion, Perfusion, QSM etc) acquisition and analysis methods.
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In HBM DEG (High Bandwidth Memory - DRAM Engineering Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence.
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Facilitation of Learning: Facilitates learning for patients and families, nursing staff, other members of the health care team and community; integrating appropriate education throughout the continuum of care to help them participate and/or make informed conclusions about their health care and treatments, including health promotion and disease prevention.
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We anticipate, lead, and believe that listening is where learning begins. The team works closely with operational teams such as our SOC Analysts and Client Security Engineers, but also Product Engineering and Development teams in order to continuously improve the service we collectively provide to our customers.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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O Implement and optimize machine learning workflows using Databricks’ integrated machine learning capabilities. o Experience with machine learning and data science workflows is a plus.
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Proficiency in features such as Delta Lake, MLflow, and Databricks SQL. Experience in managing Spark clusters and implementing machine learning workflows. Proficiency in features such as Delta Lake, MLflow, and Databricks SQL. Experience in managing Spark clusters and implementing machine learning workflows.
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machine learning product jobs Company: Google in Dallas, TX
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