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University of Massachusetts Medical School | Shrewsbury, Massachusetts | United States | 12 days ago
more complex case reviews as needed, in addition to performing activities related to data mining, data analysis and recoveries. With increasing independence, the Investigator II is assigned to multiple
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will include contributing to our clinical NLP tools, algorithms and interfaces used by clinical specialists. The post holder will be expected to be able to contribute in the following areas: Extend our
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. This position requires developing bioinformatics pipelines, applying variant interpretation algorithms, project management skills and communicating with diverse stakeholders to gather and articulate requirements
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network performance across multiple layers and levels of abstraction The ideal candidate will possess strong expertise in quantum communication and networking, with a solid command of both theoretical
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transport problems across the fission and fusion energy fields. These areas include application of cutting-edge high performance computing algorithms, workflows, and methods to solve problems related
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algorithms and system interfaces for MuFIN, as well as interfaces for stakeholder participation in PartiMeas. Conduct software testing and debugging to ensure performance and scalability. Perform other duties
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intelligence and machine learning, with a focus on applications in library and information science. The AI Research Scientist will design and implement novel AI algorithms and models to enhance and expand
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the Department of Energy and the State of Tennessee. More About the Workflow Systems Group: The Workflow Systems Group researches and develops systems and algorithms to enable knowledge discovery from scientific
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meticulous lab analysis methods is required. Experience with computer algorithms, higher level computing associated with Python code in the Linux environment. Experience with Data management utilizing software
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experimental materials synthesis, characterisation or both, and optionally, with experience developing algorithms for accelerated discovery based on data collection from automated instruments. Practical