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working with large or complex datasets Interest or experience in regulatory science, pharmaceutical or health policy, clinical evidence evaluation, or the analysis of regulatory and clinical documents
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are seeking a postdoctoral fellow with a background in occupational health and well-being, with strong experience in quantitative research, data management, data analysis, and writing for publications
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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statistical analysis, evidence synthesis, proposal development, and scientific writing. The research fellow will work closely with Prof. Wafaie Fawzi, Harvard faculty, and other team members at Harvard and
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. or M.D./Ph.D. in areas such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and familiarity with health
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for mechanistic analysis of meiotic crossover interference and high resolution imaging of single molecule dynamics of chromosomes Basic Qualifications expertise in high resolution imaging, knowledge of mitotic
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morphological analysis techniques to explore how venom has evolved in marine mollusks. Your work will span from the field to the lab, including: Sample collection from diverse, extant marine species (yes
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imaging and microscopy methods, and perform computational data analysis. Previous experience in translational cancer biology or immunology, spatial biology, and microscopy are preferred but not required
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extensive experience in mammalian cell culture, mouse dissection, FACS, molecular cloning, single-cell analysis, and bacterial culture. Special Instructions Letters of recommendation are required at the time
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associate to work with Professor Christopher Kuzawa at Harvard University. The postdoc will oversee analysis and write up of an extensive longitudinal dataset that has followed a large population in Cebu