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novel 3D modeling algorithms for near-surface characterization using curated geo-data. Contribute to the development of intelligent geophysical imaging algorithms. Publish high-impact research articles in
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to publications in top-tier international conferences and journals, as well as real-world implementations. The role includes designing novel algorithms, building robust software systems, and collaborating with
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 23 hours ago
, and AI/machine learning algorithms, as well as the adaptation and optimization of existing tools. This research aligns with CBER’s efforts to enhance the development, operations, and management of FDA’s
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algorithm with weak instruments, high-dimensional instruments or controls, and clustered data. Key Responsibilities: Develop econometric theory for weak-identification-robust tests, bootstrap methods
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 7 days ago
algorithm performance. You will analyze assignment data from December 2025 to the present to identify workload distribution patterns and refine the algorithm using mathematical modeling, programming, and
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experimental optimization, structure–performance analysis, and/or mechanistic investigations. Familiarity with machine learning techniques, optimization algorithms, and data-driven approaches for materials
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NTU’s global reputation for excellence in robotics and AI. Key Responsibilities Design and implement VLA models and world models. Develop and optimize deep learning algorithms to enable robotic arms
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medicines. Research Project: This project supports the Office of Pharmaceutical Quality (OPQ) Assignment Tool initiative by improving data validation and algorithm performance. You will analyze assignment
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Assembly Job Quality Inspection”. The role will focus on research and development of AI algorithms for defect detection, image/video analysis and understanding Key Responsibilities: Develop artificial
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departments and institutes with a common goal of creating and evaluating novel statistical algorithms in healthcare and neuroscience. The fellow will work on statistical methodologies across a broad range of