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Field
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to source localization based on microphone arrays or distributed sensors. This PhD project will focus on the development of novel methods and algorithms for airborne noise source localization in generic urban
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demand forecasting or behavior modeling Computing & Data Systems Cloud computing (AWS, Azure, GCP) Big data pipelines, distributed computing, and geospatial data processing Python, R, SQL/NoSQL
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, nonlinear dynamical systems, robotics, and formal methods to develop principled models and algorithms for distributed decision-making in complex and uncertain environments. Your research The candidate will
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, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems, Optimization, and AI • ML/AI
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University of California Agriculture and Natural Resources | Davis, California | United States | 4 days ago
services. Applies advanced software concepts to design, develop, modify, debug, deploy, and evaluate highly complex software solutions. Analyzes existing systems and devises algorithms for new software
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programmers and business analysts to develop technical solutions. Develop/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language
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and development of associated sensing and estimation algorithms Path planning based on medical imaging data (e.g., MRI, CT, angiography) Development of AI-based control methods for continuum robots
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) development, validation and application testing of a novel distributed fiber-optic acoustic measurement system (DAS) for structural health monitoring (SHM) of underground gas cavern storage facilities and
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Tenure-track Assistant and Associate Professorship positions in Data Science and Machine Learning...
Statistics section, include: Algorithms , focusing on online and approximation algorithms, graph and parameterized algorithms, string algorithms, data structures, combinatorial optimization, algorithmic
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technical knowledge in areas such as: Foundational Models Algorithmic Research Machine and Deep Learning Computer Vision Edge AI, TinyML, and Embedded AI Explainable AI Safe AI Federated, Parallel