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element analyses. Desired Qualifications The position will require strong written and oral communication skills. Applicants must also be able to demonstrate the ability to work independently, collaborate
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materials and their unique physical phenomena, such as metal-insulator transitions, charge-spin-lattice correlations, and the critical role of defects and interfaces. Utilizing state-of-the-art electron
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subdivisions of the squamate body plan. The candidate will work towards developing computational resources that assist in the data management and analysis of genomic data and its integration with phenotypic data
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days 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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genomic changes. In this role, the successful applicant will have the opportunity to participate in the analysis and interpretation of multi-omics datasets including whole genome sequencing, bulk and single
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-ray observatories, and involve complexity analysis on uniquely variable sources. Applicants with general experience related to these observatories, timing variability of compact sources, time domain
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-ray observatories, and involve complexity analysis on uniquely variable sources. Applicants with general experience related to these observatories, timing variability of compact sources, time domain
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for one year. The associate will have the opportunity to assist with data analysis and manuscript writing for a recently completed large randomized clinical trial on smoking cessation induction within a
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, experience with biosensing engineering, conducting data analysis, mentoring students, and contributing effectively in collaborative research environments. To apply, candidates should submit a cover letter
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Biology, Bioinformatics, Computer Science, or a related field • Strong programming skills in R and/or Python • Experience with analysis of single-cell sequencing data • Familiarity with spatial