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such as flow cytometry, confocal microscopy, MRI/PET imaging and bioinformatics tools. Work with team members across different disciplines such as chemistry, biology, neurosurgery, and engineering. Write up
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conditions. Bioinformatics skills relevant to genomics-driven natural products discovery, including genome mining, biosynthetic gene cluster analysis, sequence alignment, and annotation. Strong quantitative
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proteomics, metabolomics, analytical chemistry, biochemistry, systems biology, bioinformatics or a related discipline. Relevant experience in mass-spectrometry-based omics, quantitative data analysis and
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with human pluripotent stem cells, high throughput screening, genome editing (CRISPR/Cas9), rodent microsurgery, and bioinformatics datasets is a plus. Knowledge, Skills and Attitudes: Cell culture
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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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) mechanistic studies of lung fibrosis; 4) experience in working with mouse models ; 5) experience in bioinformatics such as ScRNAseq and ChIP-seq. Minimum education: Ph.D. or equivalent doctorate within
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our Cancer Epidemiology with Real-World Data (RWD) Training Program. The Training Program provides epidemiology and bioinformatics Postdoctoral Associates with training in how to combine traditional
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, infection biology, bioinformatics or another relevant biological discipline. You should have experience of confocal microscopy and fluorescence imaging, together with expertise in quantitative image analysis
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to adaptation, and the evolution of species barriers in forest tree systems. The position requires a Ph.D. in forestry, evolutionary biology, population genomics, quantitative genetics, bioinformatics, or a
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and bioinformatics tools. • Work with team members across different disciplines such as chemistry, biology, neurosurgery and engineering. • Write up manuscripts for peer-reviewed journals, grants