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well as the underlying signaling network for a variety of diseases including aging, cardiovascular diseases, brain diseases, cancer, et al., through novel statistical or deep learning methods development and application
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of machine learning methods for assurance on hardware devices like PCBs and ICs as well as on the development of automated hardware reverse engineering approaches at the IC and PCB levels for design recovery
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systems Proficiency in data analysis software and statistical methods Excellent written and verbal communication skills Ability to work independently while contributing to team goals Commitment to various
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, mathematics or related majors Job Description: The Postdoctoral Researcher will play a key role in developing and applying cutting-edge AI methods to analyze large-scale clinical datasets, including electronic
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research team to contribute to projects at the intersection of AI/ML, real-world data, and health outcomes. The Postdoctoral Researcher will play a key role in developing and applying cutting-edge methods
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disorders, Alzheimer’s disease, human genetics, transcriptomic analysis, epigenetic study, patient derived models, mouse models of neurodegenerative disorders, immuno-based methods, CRISPR/Cas based tools
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. Preferred: Expertise in Evo-Devo methods, genetics, genomics, molecular biology, neurophysiology, microscopy, and/or behavior methods. Demonstrated ability to critically think and work independently. Strong
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Intelligence. Strong quantitative, qualitative, or mixed-methods research skills. Record of publications and presentations in relevant fields. Experience with interdisciplinary collaboration. Special
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team includes collaborators from medicine, engineering, and psychology. We are committed to patient-centered science, rigorous methods, and high-impact discoveries. We are seeking a motivated
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edge training and on-the-job learning will be an ongoing core component of the position. Qualified and seriously interested parties should apply directly to this posting, and discovery calls