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10X controllers, spatial transcriptomics profilers, PCR machines and flow cytometers. About You You will hold a PhD/DPhil in immunology or related area with post-qualification research experience
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to collaborative, multidisciplinary research teams Preferred: Postdoctoral or equivalent advanced research experience in leukemia research Expertise in genomic, transcriptomic, and multi-omics data analysis
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and apply machine learning and deep learning models to analyse complex, multi-dimensional datasets, including spatial transcriptomic, proteomic, and single-cell sequencing data. The candidate will
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? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description Process and analyze single‑cell, multi‑omics, and spatial transcriptomics datasets Where
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, advanced analytics and cutting-edge -omics technologies, and apply state-of-the art methods in transcriptomics, biochemistry, fluorescence and cryo-electron tomography to illuminate the biology of RNA and
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(University of Sao Paulo, Brazil) and the co-supervision of Prof. Irina Mohorianu (University of Cambridge, UK). SPECIFIC AREAS OF EXPERTISE Strong expertise in state-of-the-art transcriptomics and metabolomics
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opportunities to use approaches including GWAS, Mendelian randomization, transcriptomics and multi-omics analyses alongside functional genetic studies in Drosophila. Particular areas of interest include
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, reducing agricultural productivity, grain quality, and food and feed safety. The research will integrate genome sequences, genetic variation, transcriptomic profiles, functional annotations, protein
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role (i.e., the role would not aim for first or last author publications) Flexibly embark on various data analysis tasks that support lab projects that mostly consist of single-cell transcriptomics
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to profile tumour and immune cells in melanoma organoid co-cultures and live tissue slices. At Erasmus MC, the candidate will work to combine spatial FUNseq with single-cell genome and transcriptome sequencing