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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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, epigenomics, nucleomics, etc.) Multimodal spatial and single-cell data visualization 2D and 3D bioimaging data visualization Data analysis and data management infrastructure for biomedical data visualization
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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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DNA elements and transcriptional and chromatin remodeling machinery in gene regulation. More information about the lab and specific research areas can be found at https://adelman.hms.harvard.edu
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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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. 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