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use of molecular assays such as real-time PCR and next-generation sequencing to study the prevalence of infectious diseases in the target study populations. Learning about sample testing under a
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advances the mathematical foundations, algorithms, and real-world applications of epistemic uncertainty in machine learning, with a strong focus on imprecise probabilities, uncertainty representation and
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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web technologies Experience in teaching bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms
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and thermal environment within Singapore’s dense cityscape. By deploying high-resolution Doppler LiDAR systems and IoT-based weather stations, the study captures detailed vertical and horizontal wind
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of study protocols; monitor data collection and quality in the field; (4) support capacity building at the project sites through presenting work to local stakeholders and research collaborators, providing
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agency, USGS collects, monitors, analyzes, and provides science about natural resource conditions, issues, and problems. Research Project: Land managers need two fundamental pieces of information to enable
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: Postdoctoral Position Location: West Lafayette, Indiana 47907, United States of America Subject Area: AI/Machine Learning Appl Deadline: 2025/10/15 11:59PM ** (posted 2025/08/26) Position Description: Apply
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, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.