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to improve both predictive accuracy and biological interpretability. The PhD research fellow will primarily focus on developing data mining methods such as network analysis in 3D genome regulation
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experience and proficiency in educational data mining and AI for education , with the ability to handle a large volumes of data Prior experience working with LLMs, including programming, fine-tuning
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, Computer Science, Data Science, or a related discipline. Demonstrated expertise in sentiment analysis, opinion mining, or computational analysis of media and public discourse. Candidates should be able
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genetics/genomics, bioinformatics, machine learning, data mining, and computational programming, including software or package development. The ideal candidate will hold a PhD in bioinformatics or
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discovery. This position is funded by a National Institutes of Health (NIH) grant focused on unlocking the biosynthetic potential of Clostridial bacteria, a poorly understood but exceptionally rich
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. Administration related to the work duties listed above Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed
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, storage conditions, and cryo-EM screening data. Mining this comprehensive dataset will enable the training of specialized AI models, ultimately allowing automated and data-driven optimization of cryo
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, storage conditions, and cryo-EM screening data. Mining this comprehensive dataset will enable the training of specialized AI models, ultimately allowing automated and data-driven optimization of cryo
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background in health data science, bioinformatics, or artificial intelligence to join the Uterine Health Research Lab. This position offers a unique opportunity to develop and deploy AI-powered analytics
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faculty, the Postdoctoral Researcher will drive research at the intersection of health data science, multimodal AI, digital twins, computational phenotyping, and responsible AI. PhD must have been