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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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contribute to the excellence of our academic community. The qualified individual will work in a molecular imaging and nanomedicine laboratory on the NIH funded project to prepare surface functionalized
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for experimental applications Develop and optimize protein-based reporters Design and refine protocols for in vivo gene and mRNA delivery Perform imaging and histological analysis of experimental samples Quantify
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., Western blot, PCR, transfection, construct design, shRNA/CRISPR, immunostaining, fluorescence microscopy, live imaging) Preferred expertise in one or more of the following areas: cancer biology, vascular
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biology, while experience with advanced imaging techniques is advantageous. We are particularly interested in candidates with experience in lysosomal biology. The candidate is expected to conduct
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 368225 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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directly related to the type of work being performed. No experience is required. Additional Posting Information: NIH-funded projects on benchtop experimental/ prototype imaging system development and
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: Performs specialized research techniques and procedures related to phenotypic characterization of cardiovascular disease using available signal-based and imaging techniques. Compiles and analyzes data using
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
and Environmental Engineering at the University of New Hampshire. The successful candidate will be responsible for developing and coding workflow processes and designing experiments for multisensory data
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, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation, integrating multi-omic and imaging datasets to identify cellular and