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and data science. This cycle's focus is on AI-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed
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biology including (meta)genomics and metabolomics, bioinformatic analysis, behaviour, immunofluorescence, optogenetics and microscopy. Experience in these disciplines particularly with a focus on zebrafish
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for whom and under what circumstances cochlear implantation is effective for tinnitus. To this end, we are conducting an individual participant data meta-analysis (IPD-MA). Instead of analyzing summarized
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and qualifications Expertise in advanced machine learning, deep learning and image vision techniques with focus on EO data (e.g. deep convolutional neural networks, transformers, deep learning based
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mammalian riboswitches and defining their biological functions. Research activities may include: Genetic manipulation of mammalian cell lines using CRISPR-based approaches Construction and analysis
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high-speed pressure measurement, gas-concentration measurements, pressure-sensitive paint or telemetry systems. You should have strong experimental problem-solving and data-analysis skills and be able
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at the University of Arizona and relocations services, please click here . Duties & Responsibilities Carry out experiments independently to determine dysregulation in RNA binding protein network and
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We are seeking a postdoctoral researcher to support the project "Social networking in the era of artificially intelligent agents” funded by the Research Council of Finland. The direction is to
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is supported by NIH funding and sits within a rich collaborative network at Yale, including the Yale Cancer Center, the Yale Stem Cell Center, the Wu Tsai Institute, and computational collaborators in
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-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed and efficiency of life sciences research