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Mathjobs.org | about 1 month ago
The Postdoctoral Fellow in Bayesian Computation will support the development of statistical methods based on Bayesian recalibration techniques using flexible transforms of surrogate models. These
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The Postdoctoral Fellow in Bayesian Computation will support the development of statistical methods based on Bayesian recalibration techniques using flexible transforms of surrogate models. These
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Job Description Apply Now Research Fellow / Research Engineer (Biosensor and microbial detection) - JP2 Posting Start Date: 17/03/2026 Schemes of Service: Research Division: Food, Chemical and
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short-horizon forecasting and patient-specific rebasing; implement data-assimilation methods (Kalman/Bayesian updating); design anomaly detection and missing-information inference logic. 40% Software
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be required to develop and demonstrate single-photon light detection and ranging (LiDAR) systems by integrating in‑house single‑photon detectors. The role will assess various LiDAR configurations
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. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection
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research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research
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data, Bayesian statistics, random object analysis, and optimal transport. Experience with neuroimaging data processing and analysis is a plus. The fellows will work with an interdisciplinary team
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, with an emphasis on technology, data science and the humanities. The Research Institute for Cancer Prevention, Screening and Early Detection has recently been established at the Lee Kong Chian School of
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support the design, development, and independent evaluation of multi-source data fusion, environmental modeling, and digital twin / multi-agent simulation capabilities, including object detection