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will primarily involve wet-lab work and library preparation for spatial transcriptomics—including quality control—as well as the generation of spatial transcriptomics data from tumor samples. Where
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will primarily involve wet-lab work and library preparation for spatial transcriptomics—including quality control—as well as the generation of spatial transcriptomics data from tumor samples. Where
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: RNA extraction, RT-PCR, in situ hybridization, and gene expression alteration (silencing, knock-down, transfection).Bioinformatics & imaging: transcriptomic analysis of candidate genes and confocal
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oyster (Ostrea edulis) populations in the central Adriatic, including literature review, marine and underwater sampling, water and sediment monitoring, molecular, biomolecular, transcriptomic and chemical
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qualifications will be considered an advantage: Knowledge of C++ and C#. Experience with spatial transcriptomics and other spatial omics data analysis. Knowledge of advanced biostatistical methods, including
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biological variability and enabling a more accurate assessment of their respective biological properties. The main focus is the analysis of genomic and transcriptomic diffcrences between the two cell
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disuse conditions, with particular focus on the remodelling of muscle tissue and its resident cellular niche. The activity will involve the use of spatial transcriptomics approaches on biological samples