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Field
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will be responsible for applying computational and bioinformatics approaches to investigate the mechanistic triggers of VITT and identify strategies to reduce associated risks. This will include
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sequencing data (e.g., Python, R, or bioinformatics pipelines). Strong record of productivity as evidenced by peer-reviewed publications or preprints. Ability to work both independently and collaboratively in
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. Qualifications Qualifications Minimum Qualifications: Education: A Ph.D. degree in a quantitative field such as statistics, biostatistics, bioinformatics, computational biology, human genetics, computer science
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using bioinformatics and molecular biology methods. The candidate will be responsible for using chemical tools to develop new nanocarriers with low toxicity and high delivery efficacy, and tackle
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using bioinformatics and molecular biology methods. The candidate will be responsible for using chemical tools to develop new nanocarriers with low toxicity and high delivery efficacy, and tackle
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microbiology, immunology, transplantation, genomics, and translational research; and hold a doctoral degree in Microbiology, Immunology, Molecular Biology, Genetics, Genomics, Bioinformatics, Computational
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mapping and genetic colocalization with GWAS summary statistics. Analyze *-seq datasets using standard and custom bioinformatics pipelines. Contribute to grant writing, manuscript preparation, and
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statistics, bioinformatics, pathology and nephrology, contributing to open-source methods, publications and translational research. Your key responsibilities will be to: develop and apply computational methods
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intelligence, and computational biology. You will be responsible for applying computational and bioinformatics approaches to investigate the mechanistic triggers of VITT and identify strategies to reduce
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(alternative splicing and DNA methylation) to refine the prognostic stratification of IDH-wildtype Glioblastoma. The activity includes: 1) In silico bioinformatics analysis on public datasets and data