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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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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
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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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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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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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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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Experience Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Physics, Biomedical Sciences, or a related quantitative field or an M.D./Ph.D. / M.D. with a strong computational
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
-seq, tRNA-seq, scRibo-seq) to generate high-quality data from ovarian cancer cell lines, organoids, and clinical samples. Through close collaboration with the bioinformatics team and industry partner
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for extension and/or if additional funding is secured to extend employment. Required Qualifications: Ph.D. in plant breeding, bioinformatics, quantitative/statistical/population genetics, or a related discipline
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studies evaluating vaccine immunogenicity and antitumor efficacy in preclinical models. Collaborate with multidisciplinary teams in chemistry, immunology, oncology, and bioinformatics. Analyze and interpret