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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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, 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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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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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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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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. Scientific Writing and Publications - Lead or co-author research manuscripts derived from spatial omics and integration analyses. - Prepare figures, methods, and documentation for publication in peer-reviewed
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Development in Africa and Latin America OR the elective MDP course Gender and Empowerment in Development AND co-teach the core MDP course Design and Methods for Sustainable Development Practice. The instructor
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geographic patterns of dominant water level components over seasonal-to-interannual time scales. Develop methods for quantifying uncertainties in total water level estimations, considering coastal morphology
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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