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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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software. PREFERRED QUALIFICATIONS: Experience and expertise in analysis of high-dimensional genomic data, including DNA methylation. Experience and expertise in analysis of longitudinal data Experience and
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and protein complexes, pull down - Omics data analysis (RNAseq, ChIPseq, genomic DNA-seq, etc.) - Presenting results in writing and orally - Ensuring the traceability and reliability of results
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responsible for Data Architecture & Management; Data Analysis; Protocol Curation & Versioning; Notetaking & Policy Enforcement; Cross-Functional Collaboration; Governance & Continuous Improvement; and performs
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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
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media, and thus study the dynamics of online behavior. Where to apply Website https://www.cref.it/bandi/bando-n-226-incarico-di-ricerca-nellambito-del-proget… Requirements Additional Information
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or a related quantitative field. Candidates with PhD in biomedical science with genomics data analysis training and experience are also encouraged to apply. Job Description: This position is based within
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development of existing image and data analysis tools -performance characterization using various types of samples (calibration samples, model systems, biological samples and/or nanomaterials) -participation in
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report of the courses attended on the following topics: Analysis of Partial Differential Equations, Continuum Mechanics and Fluid Dynamics, Functional Analysis, Numerical Analysis, Probability and
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models