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research data. Skills: Multitasking, problem solving, analytical skills, communication, and interpersonal skills. Preferred Qualifications: Experience in molecular biology. Experience modeling the tumor
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version control ● Experience working with large datasets and cloud computing environments. ● Solid background in statistical modeling and inference ● Excellent written and oral communication skills, with a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
sensorimotor function disrupted by neurological disorders and injuries. The lab uses high-density neurophysiology (Neuropixels), high-density spinal stimulation, brain-spine interfaces, computational modeling
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surveillance during early colorectal tumorigenesis. • Generate and manipulate human and mouse colorectal adenoma cells and organoid models. • Use CRISPR/Cas9, inducible gene-expression systems, miRNA inhibitors
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processes used in these channels. He/She will participate in modelling these processes at a global level (flows and organisation) as well as at the product treatment level (analysis of product/operator
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Science. Our research examines how artificial intelligence, online platforms, and the Web shape individuals, societies, and access to information. Recent themes include large-language-model safety and bias
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infection models to identify and characterize compounds active against these priority pathogens. Main duties and responsibilities Design and build a microscopy-based phenotypic screening pipeline (live
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particular the development of generative AI technologies such as diffusion models, flow matching, generative transformers, or related architectures. The position is highly methodological and focuses
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-transcriptional gene regulation; kidney biology or polycystic kidney disease; mouse genetics, transgenic mouse models, and animal phenotyping; mammalian cell culture, primary cells, or kidney organoids; or RNA
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interventions. Excellent command of advanced statistical methods, including longitudinal data analysis and complex multivariate analyses (e.g., structural equation modelling, SEM). Experience working