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laboratory Our research focuses on large-scale pan-cancer genomics to gain insight into the genes, mutational processes and evolution of cancer. Our work is highly data-driven, with a focus on large-scale data
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to the development and characterization of advanced human stem cell-derived models, including organoids and Forebrain Chimeroids, as well as the analysis of endogenous prenatal human tissue. In parallel, you will
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of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis solutions that assist in storage
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& Responsibilities: Assists research studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical
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of the bioinformatics laboratory at the college of computing (bioinformatics.um6p.ma). The project aims to build a simulator for the response of mutations at different levels. The candidate will be
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, signaling pathways, or systems biology models (bioinformatics tools and models) Experience with integrated multiscale modeling frameworks connecting molecular dynamics to cellular or tissue-scale processes
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Research Scientist, we are seeking a candidate with an MD or PhD with a minimum of two years of post degree research experience in immunology, biochemistry, biotechnology, bioinformatics, microbiology or a
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bioinformatics. The role will be responsible for developing and characterising human dorsal root ganglia cultures to benchmark the newly developed iPSC derived organoid model systems. This will include processing
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and conferences, and contribute to the preparation of manuscripts. Our research focuses on uncovering the proximate mechanisms underlying evolutionary changes in developmental and behavioural processes
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will have the opportunity to work with: High‑throughput functional genomics: pooled CRISPR and base‑editing screens, barcoded overexpression libraries, massively parallel reporter assays. Advanced cell