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Translational Bioinformatics) to support an innovative translational research program investigating the molecular mechanisms underlying ocular and neurodegenerative diseases. The successful candidate will bring
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Biology and Translational Bioinformatics) to join an innovative translational research program investigating the molecular mechanisms underlying ocular and neurodegenerative diseases. The successful
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: Expertise in R and Python for data analysis Expertise in bioinformatic analyses Advanced statistical modelling approaches, including multilevel and multivariate methods, dimensionality reduction, and latent
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bioinformatics pipelines for bulk and single-cell RNA sequencing, cell-free RNA, DNA methylation, proteomics, and other multi-omics datasets. Integrate diverse molecular and clinical datasets to identify
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technologies in molecular biology, genetics, next-generation genomics, proteomics, bioinformatics, and genetically-engineered animal models to complement our expertise in cell biological and physiology
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and spatial omics, flow cytometry, bioinformatics, and inflammation research Qualifications and Experience: Education: PhD or equivalent doctoral degree in genomics, immunology, molecular biology
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, knowledge, and skills related to equity, diversity, and inclusion Preferred Qualifications An undergraduate or master’s degree in computer science, data science, artificial intelligence, bioinformatics
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preferred. Candidates with training and experience in bioinformatics and statistical analysis will be preferred. Evidence of experience in outstanding teaching activities at university level A minimum of five
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, genomics, cell and developmental biology, molecular biology, and bioinformatics. Candidates must provide evidence of research excellence which can be demonstrated through a record of publications in top
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through the development of more effective diagnostic and therapeutic approaches. Qualifications and Experience · PhD in Bioinformatics, Computational Biology, Statistics, Genetics, Genomics, or a