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(Postgres, MySQL) and NoSQL (MongoDB, Accumulo) databases Apply advanced data mining, statistical modeling, graph algorithms, and machine learning to extract insights from large structured and unstructured
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resources while addressing workflow requirements for scientific applications. Validate distributed intelligence algorithms at scale on ORNL's computational resources, including the Frontier supercomputer
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methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
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, influential software distribution, and substantial external funding. The department currently has 20 tenure-track faculty and 11 teaching faculty. We offer three undergraduate degrees (B.S. and B.A in
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distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute to cutting-edge research aimed at transforming scientific data management and
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of virtual models (digital twins) for studying and detecting abnormal operating conditions (predictive diagnostics of anomalous behaviors) in distribution transformers using the finite element method (FEM
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 2 months ago
to compare base approaches (no active learning) with different state-of-the-art active learning algorithms including our solutions; Participate to the redaction of a publication exposing the methodologies and
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developed: Write and maintain code to implement the core functionality and system logic that powers the application. Design algorithms and procedures for negotiating agreements between transport companies
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artificial intelligence-based algorithms to optimise operation and predict anomalies in water distribution networks. The algorithms developed should identify patterns and anomalies that indicate the presence
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for the acquisition and storage of radiofrequency data. Develop (train and validate) AI and ML algorithms to detect and mitigate RFIs. Implement other RFI detection and mitigation algorithms (pulse blanking