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tissue imaging, spatial multi-omics, and AI-driven analytics. The successful candidate will lead projects aimed at dissecting the molecular and cellular mechanisms that govern tumor progression
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focusing on multi-omic 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
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collection, advanced analytical skills, and scientific writing publication record, with significant contributions to peer-reviewed publications beyond thesis papers ability to lead research teams and manage
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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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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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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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PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective
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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