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produce and interpret dynamic visual signals. The successful candidate will contribute to experimental design, computational analysis of behavioral data, and the integration of biological insights with
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general analytics on data sets in the area of university research activity. Activities include: defining data requirements, data collection, processing, cleaning, analysis, reporting and visualization
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the development of novel mathematical and computational approaches for advanced relational data analysis. Where to apply Website https://pica.cineca.it/unimc/20-br-071/ Requirements Research FieldTechnology
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projects integrating omics, clinical and medical imaging data, contributing to biomarker identification and the development of computational approaches for healthcare. Key responsibilities include analysis
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processes related to data analysis. This employee must possess knowledge and understanding of the complexities of assessment, evaluation, and data as well as a high degree of knowledge of statistical
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 41 minutes ago
experience with DNA/RNA sequencing data analysis. AA/EEO Statement: The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender
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English Proficiency in machine learning and large omics data analysis is preferred. Where to apply Website https://www.lih.lu/en/job/?value=JA/PDGMB0326/MD/DIIA Requirements Research FieldComputer science
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connectivity analysis and structural MRI data analysis. Strong background in neuroscience and psychology. Experience working with clinical datasets, neuropsychological assessments, and pathology-related
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] Subject Area: Numerical analysis Appl Deadline: 2026/04/13 10:59 PM UnitedKingdomTime (posted 2026/03/11 04:00 AM UnitedKingdomTime, listed until 2026/04/14 04:59 AM UnitedKingdomTime) Position Description
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performing computational analysis of cutting-edge sequencing datasets. S/he will be in charge of the analysis of single-nucleus RNA/ATAC-seq and spatial transcriptomics data from brain tumor patient samples