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Sciences, Political Sciences, Computer Sciences, or Engineering, with a strong track record (relative to opportunities) in research on disaster management, extreme contexts, and resilience including a body
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imaging. Within our research program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc
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, fluorescent in situ hybridisation (FISH), in vivo non-canonical amino acid tagging (NCAT), confocal and super-resolution imaging, molecular biology, biochemistry, and next-generation sequencing. In addition
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
Posting Information Posting Details Department Renaissance Computing Inst - 637100 Posting Open Date 08/05/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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imaging/omics and CRISPR/Cas9 technology is a plus. Team-oriented, innovative, and motivated to push boundaries in translational neuroimmunology. Your research qualities are in line with the faculty and
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have: Expertise in processing optical remote sensing data over large areas and using machine learning models for predicting ecological metrics Strong background in remote sensing in hyperspectral imaging
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of Biomedical Informatics (BMI) and the Pelotonia Institute for Immuno-Oncology (PIIO) are seeking a highly motivated Postdoctoral Scholar to work under the mentorship of Dr. Anjun Ma —a leader in deep learning
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of work and management of people; good communication skills; and computer literacy City: Newark State: NJ Posting Number: 25ST1720 Create a Job Match for Similar Jobs About Rutgers University Rutgers
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Postdoctoral Researcher position in the field of cancer biology. The Lafita-Navarro lab focuses on understanding the molecular mechanisms and metabolic adaptations underlying the biology of cancer cells. One
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, biophysics, biochemistry, systems and cell biology. In MEDI unit, genome wide methods, computational approaches and experimental models are developed and utilized to understand the mechanisms of diseases, e.g