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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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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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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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track record in fMRI data analysis and multimodal neural representations of actions will be considered a preferential qualification. Where to apply Website https://www.imtlucca.it/en/jobopportunity/public
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to contribute to a project at the intersection of biotechnology, drug development, and computational analysis. Candidate will be involved in: Collaborating with computer scientists and engineers to develop AI
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Detail Information Position Summary The Department of Neurosurgery is seeking a highly motivated individual with a strong background in neuroimaging analysis and artificial intelligence (AI). The Research