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MS or Ph. D. degree in biomedical engineering, physics, computational sciences, or a closely related field with emphasis on medical image processing. Strong understanding of data science approaches including machine and deep learning; background in immunology, biology or oncology a plus.
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Bachelor's / Master's in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. Internal Collaboration: Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
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Apply classical and machine learning methods to derive insights from integrating and analyzing clinical response, tumor transcriptomic/genetic data, and radiographic image features.
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Support the assessment of production suitability of Open Source and proprietary solutions for Generative AI (GenAI) Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL.
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PhD or Masters in electrical engineering or computer science with an emphasis in machine learning, algorithm understanding for hardware co-design and assisting a hardware development team to implement embedded systems.
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Bristol-Myers Squibb is looking for Senior Associate Scientist to join the Discovery Biology Immunology team located in Lawrenceville, NJ. The position will utilize cell biological, biochemical and immunological systems and methods to identify and validate novel targets as well as to elucidate modes of actions of novel therapeutic agents in immune-mediated and inflammatory diseases.
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The IT Support and Web Specialist provides IT software and hardware support, web development, and systems administration to faculty, staff and students of the Electrical and Computer Engineering Department.
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Whether it be through science, engineering, technology or professional services, every team member has an opportunity to make their mark on our world. + Supports the maintenance and real-time troubleshooting of the motor generator’s cycloconverters, excitation systems, liquid rheostats, instrumentation calibrations, controls, circuit breakers, switchgear, hydraulic and lubrication systems, compressors, pumps, heat exchangers and cooling water systems.
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What you’ll need: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Bachelor’s degree in Business, Engineering, Computer Science, or a related field; MBA or advanced degree preferred. Knowledge of data analytics, machine learning, and AI applications in pharmaceutical manufacturing.
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The Learning Experience seeks a dedicated and enthusiastic Preschool Cook to join our team as an ambassador of happiness. Our curriculum focuses on the six ages and stages of early childhood development and engages children in hands-on learning activities that encourage them to explore and solve problems at their own rate of development.
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Profound grasp of Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Knowledge/Experience in the usage of machine learning/AI tools in life science area(s) and handling life science datasets is preferred.
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Ensure all metadata for image and illustration rights is entered into Veeva Vault PromoMats library. Library Science degree preferred. Assists content team with implementation of content systems including user acceptance testing.
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Profound expertise in SAP SuccessFactors, SAP Analytics Cloud, and other HR systems. Such processing is legally permissible under Art. 6(1)(f) of General Data Protection Regulation (EU) 2016/679 (“GDPR”) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment.
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The Company creates quality books and ebooks, print and technology-based learning programs for pre-K to grade 12, classroom magazines and other products and services that support children's learning both in school and at home.
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machine learning computer science image processing engineering systems jobs Company: Dolby Laboratories Inc in Princeton, NJ
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