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Distinct experience in big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP.This is a hands-on leadership role which involves leading machine learning teams, building best architectural solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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Should be competent with at least one numerically focused programming environment such as Python or Matlab using the native linear algebra, image processing, and machine learning libraries.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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Lahey Hospital and Medical Center is now offering up to an $8,000 signing bonus for our Sterile Processing Technician II position. Under the general guidance and direction of the CSP Operations Supervisor, Sterile Processing Lead Technician, the Sterile Processing Technician 2 utilizes certified-level skill sets to enact Sterile Processing functions as directed.
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A talented Machine Learning Research Engineer is required to join an exciting and innovative healthtech organization based in Boston. In this role, you will collaborate with researchers to develop machine learning methods for computational biology and drive the implementation and testing of novel research ideas using cutting-edge deep learning techniques.
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Under the guidance of the Manager of Health Information Management, the HIM Specialist I is responsible for following processes to ensure compliant release of records, request for records and accurate data entry into CCA’s Electronic Medical Record (EMR) Request and review EMR from partnering organizations to obtain pertinent member documentation (narrative notes, physical exam, lab values, vital signs, medications, diagnoses and clinical parameters, including health maintenance data.
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Understanding of foundations of Big Data systems and hands-on experience with distributed computational frameworks such as Apache Spark / Apache Beam and NoSQL data stores. The position will build upon concepts including feature engineering, statistics, data visualization, and optimization, to lead machine learning based analyses of complex data involving tabular, free text, and imaging data.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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The BIDMC Cardiology Division and CardioVascular Institute is seeking a highly motivated individual with expertise in Data Science and Machine Learning to work on multiple clinical and translational research projects focused on cardiovascular disease.
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Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. to help secure your financial future and preserve your health and well-being, including:Premier Medical, Dental and Vision Insurance with no waiting period.
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Skills: Windows development for medical products, GUI frameworks, DICOM, PACS, and 2D medical image processing, IPP, ITK, VTK, OpenGL or OpenCV, Windows API, C/C. Knowledge and experience in DICOM, PACS, and 2D medical image processing; experience using toolkits such as IPP, ITK, VTK, OpenGL or OpenCV.
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Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology. Reinforcement Learning, Computer Vision, or Natural Language Processing experience.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Location: CHA Cambridge Hospital Work Days: 11:30pm -7:30; Rotating Weekend & Holidays Category: Allied Health Department: Central Processing Dept Cambridge Job Type: Full time Work Shift: Night Hours/Week: 40.00 Union: Yes Union Name: CH Laborers 380 CHA Perioperative Services consists of Orthopedics, General Surgery, Ophthalmology, Urology, Plastics, Podiatry, Vascular and Endoscopy and many other services.
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machine learning apache spark processing electronic medical records jobs Title: engineer in Woburn, MA
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