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for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Appointing a postdoctoral scholar with expertise in causal inference, machine learning, and
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closely related field Required Qualifications: - Experience in spectral CT and uantitative imaging including radiomics, machine learning, deep learning or artificial intelligence as applied to radiology
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: Durham, North Carolina 27708, United States of America [map ] Subject Areas: Electrical and Computer Engineering / Engineering Physics , Quantum Engineering , Machine Learning Appl Deadline: 2026/10/01 04
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enable physics-informed AI agents that accelerate discovery in catalysis science. The successful candidate will focus on the development and application of machine learning and AI approaches to analyze
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 27 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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surveillance and preparedness planning using multiple modeling approaches. The successful candidate will develop and implement statistical and machine-learning models, integrate multi-source ecological datasets
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at the interface of biostatistics, machine learning, and biomedical data science. This mentored postdoctoral position is designed to support the development of an independent research trajectory in methodological
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Learning Sciences, Computer Science, Human-Computer Interaction, Informatics, Educational Measurement and Statistics, Educational Psychology, or a related field. Required Qualifications: Relevant experience
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will primarily work on interdisciplinary projects to examine how computing students develop and enact ethical agency within the context of human-computer interaction (HCI) and user experience (UX) design
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Center for Biologics Evaluation and Research (CBER) | Southern Md Facility, Maryland | United States | about 6 hours ago
with advanced machine learning approaches. The research will involve assay development, metagenomic (mNGS) sequencing, and bioinformatics analysis to advance regulatory science and enhance the safety