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programming, artificial intelligence models, data analysis, and large language model engineering. You will work closely with project leads at RCA and academic collaborators at HKPU, contributing to research
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"Advancing the Study of Social Isolation, Loneliness, and Cognitive Functioning in Older Adults Through the Use of Integrative Data Analysis.” As a postdoctoral associate, you will focus primarily on data
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
: 235018 Vacancy ID: PDS003518 Position Summary/Description: Perform immunological assays including T cell Elispots, T cell Proliferation,FACS analysis, FLOW sorting, Magnetic bead separation of immune cells
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analysis), and one or more of: CRISPR, microfluidics, next-generation sequencing experiments, or developing diagnostic technologies. Proficient in scientific writing. History of academic productivity and
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genetic knockouts in yeast and mammalian cell lines, and protein purification. Job Responsibilities: 35%: Computational algorithm development and data analysis 35%: Design and conduct experiments with yeast
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synchrotron X-Ray methods. The Postdoctoral Associate will develop new methods for measurements, data analysis and modeling for Modulation Excitation Spectroscopy and will travel to US and foreign synchrotrons
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volcanoes in the eastern Caribbean. Research will include analysis of materials from pre-existing sample collections, and also collaborative fieldwork to collect new samples. About you You will hold or be
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for the analysis of the sequence data, to describe the genetic diversity between French regions for different types of variants (SNV, indels, SV, STR, mictochondrial…). He/she will work in collaboration with our
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Educational Requirements PhD in Biology, Marine Science, Environmental Science or related field Required Experience Laboratory experience in molecular techniques, data analysis, and manuscript preparation
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NIH-funded lab with an exciting and evolving research program. Gain hands-on experience in circuit-level analysis of behavior. Collaborate with a vibrant research community at Virginia Tech and beyond