204 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" positions at Harvard University
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on leveraging innovative digital technologies for scaling up proven psychosocial interventions across underserved settings in the United States. These research efforts involve participating in the development
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submitted by three Create a Job Match for Similar Jobs About Harvard University Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines
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of advanced technologies. This includes developing cutting-edge AI/ML models and datasets; learning how to take advantage of unparalleled computing resources in the academic environment by optimizing AI/ML
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welcome applications from recent PhD graduates interested in this field. The successful candidate will work to develop an independent research project within the scope of the lab’s research focus. In
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atmospheric chemistry, air quality, and model development. Basic Qualifications: Ph.D. in atmospheric science and substantial experience in modeling of atmospheric composition. Additional Qualifications
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invited to indicate on the application form whether they wish to be considered for a joint fellowship position with one of these Centers. If selected, the joint fellowship will offer access to development
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to detail. We have developed a back exosuit that is lightweight and pliable and can assist with hip and back movement by applying appropriately timed joint torques to the wearer. The successful candidate will
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, and may include comparative human/nonhuman primate neuroimaging, canine neuroimaging with dogs and foxes, and/or behavior and psychological assessments. Training in professional skills development will
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management, utilizing sales data, identifying trends, and chasing market share. (15%) Develop an annual sales plan for each specific account. Meet with accounts as appropriate. (10%) Manage the channel’s
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, epigenomics, transcriptomics, and proteomics) information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with