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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored
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://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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managing human subjects research and handling sensitive data is preferred. • Strong quantitative skills, including proficiency in regression modeling, environmental mixtures analysis, and spatial methods
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monitoring and profiling of breast tissue and systemic responses; Use of mouse models to study early tumour initiation; Application of single cell and spatial transcriptomics, lineage tracing, and multiomics
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 14 days ago
of toxicants may also be a component of this position. The studies utilize molecular and cell biological technologies, including single cell RNAseq/CITEseq, bulk RNA profiling and qPCR, spatial biology, flow
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 24 days ago
increasingly utilizes big data, satellite imagery, register data, and advanced methods such as deep learning and neural networks to address major societal challenges related to spatial inequalities and
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matrices. They pave the way towards multi-layered: multi-coloured, -spectral, -helicity, high spatial and temporal resolution unclonable QR code generation with an unprecedented 5 layers of 'invisible
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applications from prospective postdoctoral scholars. Potential projects involve investigating the neural mechanisms underlying age-related changes in spatial navigation and memory. Methods to be used include
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of Civil and Environmental Engineering / Chaney Lab: Perform the core of the proposed research activities including processing the remotely sensed LST to compute the spatial statistics, run the HydroBlocks
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-modal single-cell, spatial and genome editing technologies; and applies these methods to study regulatory genomics of cell function and cell-cell interactions, with a focus on immunology and cancer