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CUDA, Bash, and/or SQL), machine learning / deep learning methods, data analytics, and medical image analysis. Preferred Experience: Experience with common open-source scientific computing/machine learning libraries (e.g., PyTorch / TensorFlow), containerization, and cloud-native technologies (Docker & Kubernetes) is preferred.
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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
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Participate in the design of pathology/biological/sequencing experiment to generate high quality data for machine learning. Develop and maintain computational methods using deep learning for pathological image processing.
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A PhD (or equivalent experience) from Mechanical Engineering, Aerospace Engineering, Computer Science, Chemical Engineering, or Electrical Engineering with a focus on Control Theory and Applications, Robotics, Mechatronics, Machine Learning, or Data Analytics.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We are looking for a dedicated Learning and Development Manager to help continue building on our culture of excellence and support our employees' careers throughout their life cycle.
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Developing chatbot logic and algorithms using natural language processing (NLP) and machine learning techniques. Developing chatbot logic and algorithms using natural language processing (NLP) and machine learning techniques.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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Manage vibration analysis databases to include optimizing machinery vibration analysis measurement parameters and alarm limits as necessary.
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We have created software to help college students in three of those subjects read with more engagement and practice more effectively, incorporating our research team’s expertise in cognitive science and machine learning.
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Develop and publish relevant bioinformatics methodologies, pipelines, and algorithms, and stay abreast of the latest advancements in bioinformatics, machine learning, and oncology research.
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The primary purpose of the Associate Data Scientist position is to assist researching and assisting researchers in creating high impact imaging and pathology machine learning algorithms for the Tumor Measurements Initiative (TMI.
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Experience with Cloudera ECS and Cloudera Data Services such as Cloudera Data Engineering, Cloudera Data Warehouse, and Cloudera Machine Learning. Optimize Cloudera Data Services for data engineering, data warehousing, and machine learning in collaboration with the respective teams.
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A minimum of 6 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data scientist, Machine Learning Engineer, or AI Engineer. Expertise in machine learning frameworks, including TensorFlow or PyTorch, and the ability to leverage them for custom solutions.
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Budget Analyst - Children's Learning Institute. The university’s primary teaching hospitals are Memorial Hermann-Texas Medical Center, Children’s Memorial Hermann Hospital and Harris Health Lyndon B. Johnson Hospital.
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machine learning jobs Title: learning architect in Houston, TX
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