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in techniques of developmental biology and expert in mRNA detection using HCR technology. Experience in confocal imaging and 3D analysis of confocal stack is essential. The role is expected
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
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-funded research program. Dr. Pak’s overall research program investigates genetic, metabolomic, and proteomic factors underlying common sleep disorders and chronic disease. This work spans across
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related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher – Automated Correlative Image Analysis for BlueMaterials Reference code: 958 - 2026/MB 1 Work
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Scholar Position Title Post-Doc Research Associate Vacancy ID PDS004819 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US
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, embedded system implementation, and end-to-end signal analysis workflows, positioning them at the forefront of AI-driven research in radiofrequency spectral monitoring. Duties The work will mainly include
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difference and boost your academic career! The overall aim of ’The Power of Size’ is to establish relationships describing the emission, fate and effects of pollutants as a function of size. We intend
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screenings Bioinformatics analysis (mainly scRNAseq and Hi-C analyses) Cell culture - Mammalian cells, primary cells, organoids, functional assays (co-cultures, T cell cytotoxicity) Flow cytometry analysis
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the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing