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Field
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statistical analysis of proteomic, phosphoproteomic and related multi omics datasets. The role will contribute to the School's research activity by developing robust, reproducible analytical workflows
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modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
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and analyzing multidimensional data sets Familiarity with bioinformatic and biostatistical approaches for the analysis of sequencing and proteomic data Desire to conduct team-based science in close
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. Candidates with experience in genomic analyses, proteomic approaches, imaging analysis, iPS differentiation and bioinformatics would be especially welcome. The post available as a fixed-term contract for 1
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and Statistics. The School of Mathematics and Statistics is seeking to appoint a Postdoctoral Researcher for a 4-month role to support the bioinformatic and statistical analysis of proteomic
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largely unexplored layer of organelle regulation. By integrating subcellular transcriptomics, selective ribosome profiling, proteomics, and structural approaches, we aim to define the ciliary transcriptome
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plant biochemistry. • Prior research experience in lipids, redox biochemistry, proteomics, and plant molecular biology. • Ability to design and conduct experiments both independently and collaboratively
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antimicrobial susceptibility testing, particularly physiologic-based methods. Familiarity with transcriptomic or proteomic approaches to study bacterial or host responses. Prior experience in working with animal
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
properties from human samples; and spatial transcriptomics/proteomics and morphological analysis of human lung tissue. Education and Experience: Preferred qualifications include: An understanding of pulmonary
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Lymphoblastic Leukemia (B-ALL). The project takes a multidisciplinary approach, combining state-of-the-art molecular and cellular biology techniques with genomics, proteomics, metabolomics in mouse models and