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for analysis of large-scale whole genome genetic and genomic and phenotype data. Examples include large Whole Genome Sequencing association studies, biobanks, single-cell and CRISPR multiome data, integrative
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models
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the activities of GT3. The initial phases will focus on studying the ideal frameworks for creating the IT platform and developing AI algorithms for data analysis. In particular, the data storage structure will be
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). Experimental Design: Participate in the development of experimental protocols and human collective behavior experiments. Data Analysis: Perform advanced statistical analysis of experimental data. Modeling
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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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scientific publications. -Interviews -Vegetation surveys -Qualitative data analysis -Quantitative data analysis UMR CESCO: The Center for Ecology and Conservation Sciences (CESCO) conducts research
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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
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collaboration with experimental scientists. Our group develops and maintains open-source software for data analysis, including HiCognition (https://www.hicognition.com) for interactive exploration of genomics
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tissues for spectral cytometry analysis. Data analysis using different omic software (SpectroFlow, Omiq®, and FlowJo). ➢ Cell culture: Maintenance and experimentation with primary cell cultures, especially
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of Research Experience1 - 4 Additional Information Additional comments https://bandi.unibo.it/s/apos5/rif-181-bando-per-1-posto-da-ricercatore… Work Location(s) Number of offers available1Company/InstituteAlma