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-generation AI models of gene regulation and disease progression. Our work is redefining Parkinson’s disease biology and enabling translational breakthroughs. The role Develop deep learning models across genome
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technology (PAT) adds cost, time, and introduction of human error. This project aims to develop a novel, label-free microbial detection method, coupled with machine learning tailored for cleaning validation
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motivated postdoctoral researcher to develop and apply imaging-based and computational approaches to identify predictive nuclear signatures of cell fate. The project combines experimental and quantitative
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teaching environment. Our long-standing strength lies in integrating various life‑science fields – from cell and molecular biology and genetics to anatomy, neuroscience, musculoskeletal biology, histology
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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mathematical, statistical, and machine-learning-based analysis of complex data sets, such as hypothesis testing, supervised/unsupervised learning, linear models, etc. Experience with atlas-scale single-cell data
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, differentiation, stress response, and apoptosis, yet it remains unclear whether these processes follow conserved organizational principles across cell types and experimental systems. Large-scale fluorescence
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publication record in sensing systems, mobile health, or HCI. Experience with signal processing, machine learning, or embedded systems is a plus. Carnegie Mellon University is an equal opportunity employer. It
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opportunity to engage in leading trans-disciplinary research and develop innovative solutions to the inclusion and net zero challenges facing twenty first century urban mobility. The ideal candidate will have
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce