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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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manuscripts and research grants. The overall focus of this post-doctoral research position is the development of self-renewable induced pluripotent stem cell-based therapies for the prevention and management
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, a novel spatial discovery proteomics concept that integrates microscopic cell phenotyping with deep-learning based image analysis and global MS-based proteomics. This unique method was recently
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based on an individual-centered spatial analysis approach (geomatics) using AgentBased Modeling to model mobility and its evolution. The postdoctoral researcher will intervene in the second phase
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Fund project TARGETWISE. The candidate will be responsible for conducting machine learning omics data analysis within the computational team. The details on responsibilities, obligations and rights
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days 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
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mammalian cell culture. Experience with expression (E. coli, yeast, and mammalian cells) and purification of proteins. Experience with Drosophila Genetics, Dissection, Immunostaining and Confocal Microscopy
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University of California, Los Angeles | Los Angeles, California | United States | about 22 hours ago
of Medicine at UCLA is seeking applicants for a full-time postdoctoral position. The candidate will conduct research on the human antibody and B cell response to H. Pylori infection and rational vaccine design
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for generating high-dimensional data (single cell transcriptomes and epigenomes, spatial transcriptomes, TCR/BCR repertoires), and work closely with collaborators and lab members. Additionally, you will receive