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and pre-clinical therapeutic testing High-dimensional flow cytometry and immunofluorescence imaging Single-cell and spatial transcriptomics Primary cell engineering and co-culture systems Molecular
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of skills and experiences. While no applicant is expected to possess expertise in all areas, experience in one or more of the following domains would be particularly valuable: single-cell transcriptomics
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genomics and spatial transcriptomics); advanced live-cell or super-resolution imaging; computational modeling of developmental trajectories; and the engineering of advanced in vitro models (such as stem
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, transcriptomics, and bioinformatics tools applied to the analysis and interpretation of biomedical data. (up to a maximum of 0.5 points). Research stays or training/research activities at nationally
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, transcriptomic, and proteomic datasets to uncover biological mechanisms and generate novel research insights. The successful candidate will apply bioinformatics and statistical approaches to analyze high
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advanced molecular and cellular techniques: including transcriptomics, immunohistochemistry, flow cytometry, immune cell isolation and functional analysis Plans, coordinates and oversees processing and
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 2 months ago
interaction studies. Experience in at least one of the following areas: chromatin biology, transcriptomics, epigenomics, proteomics, or functional genomics. Experience establishing or optimizing molecular
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, the Chair may also interact with local expertise and technological platforms in bioinformatics, metabolomics, proteomics, transcriptomics, and multi-omics. Scientific objectives of the Chair The Chairholder
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adipose tissue using single-cell and spatial transcriptomic approaches. Mapping neural pathways connecting adipose tissue with the peripheral and central nervous systems. Recording and perturbing neural
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. Experience working with animal models and handling biological samples. Experience in the analysis of genomic, transcriptomic or epigenomic datasets. Strong organisational skills, scientific curiosity and the