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Engineering at Harvard University seeks outstanding postdoctoral fellow applicants with expertise in biomolecular engineering or science to develop enzyme-free ultrasensitive detection of analytes using DNA
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research related to mental health and addiction services utilization and quality of care. Experience working with Medicaid, Medicare and/or commercial claims data, a deep understanding of analytical methods
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, Medicare and/or commercial claims data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical
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-driven analytics. The successful candidate will lead projects aimed at dissecting the molecular and cellular mechanisms that govern tumor progression, therapeutic response, and immune evasion across
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monitoring of key analytes relevant to environmental and public health. This position will play a critical role in designing, fabricating, and validating cutting-edge biosensing technologies, with an emphasis
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information on complex diseases. The goal of our efforts is to build and apply automated analytical pipelines for various types of pathology data, including histopathology images and multi-omics (e.g., genomics
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integration analytics, machine learning, and/or AI. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing of grants and
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to join our team in advancing new diagnostic technologies. This project focuses on developing real-time electrochemical sensors for continuous, on-site monitoring of key analytes relevant to environmental
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, biostatistics, computer science or a related quantitative field Additional Qualifications: · Advanced programming and analytical skills (including R, Python, and SAS or Stata) · Experience with Medicare claims
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epidemiological analysis of HIV epidemics in eastern and southern Africa. Postholders will be responsible for developing and leading analytical and modelling components of internationally collaborative projects