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particle physics. Experience with state-of-the-art detector systems and with the analysis software of a particle physics experiment are required. The successful applicant is expected to be stationed at CERN
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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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Lab at Harvard University to study the structure and function of lipid droplets in the brain in both health and disease. For more information about our publications and research interests, please visit
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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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. 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