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, genetics, or related field • Expertise in genomic data analysis, particularly single-cell RNA-sequencing and/or alternative splicing • Strong background in bioinformatics and programming skills (e.g., Python
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apply the same type of DNA sequencing analysis as in a recent publication in which we retrospectively (through phylogenetic analysis) lineage-fate mapped human HSCs (7). Projects will be pursued in part
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main focus on uveal melanoma. Analyse clinical, pathological and molecular genetic data, including next generation sequencing data. Prepare and coordinate applications for external research funding
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learning models to link sequence to function, supporting the design of regenerative therapies in the nervous system. The position will combine hands-on neuroscience experimental approaches with data-driven
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regulators of disease onset and progression. Responsibilities include processing large-scale sequencing data, developing and benchmarking methods for splicing and regulatory network inference, integrating
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esophageal organoids from both healthy and inflamed epithelium. You will characterize how inflammation impacts organoid development and architecture using IF and single-cell sequencing. In addition, you will
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diseases. Programming knowledge in R or Python is a requirement. The applicant should also have experience in machine learning. Experience in analyzing multiple MRI modalities such as sMRI, DTI and fMRI is
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are looking for a candidate with a PhD in epidemiology, biostatistics, data science, medical science, or a related field, with solid statistical skills and the ability to independently manage data from multiple