319 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" "U.S" positions at Harvard University
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: 15042 School: Faculty of Arts and Sciences Department/Area: Molecular and Cellular Biology Position Description: The Needleman lab is seeking to hire two research associates to develop and apply
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comprehensive data and analytics infrastructure to guide all decision making within Alumni Relations and Resource Development. They lead the design and execution of departmental data analysis and reporting
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the deadline and we’ll help arrange an alternative method. The online portal opens for applications 2 months before the application deadline. Before submitting your application, please refer to the U.S. tax
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. Successful candidates will be expected to contribute to technique development/material synthesis, plan and lead research projects, acquire and analyze experimental data, supervise and mentor undergraduate
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the development and translation of rehabilitation technologies is strongly preferred. Prior experience with embedded systems or biomechanical evaluation in wearable devices is desired. Special Instructions Contact
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. They will also have the opportunity to work on other problems related to global atmospheric chemistry, air quality, and model development. Basic Qualifications Ph.D. in atmospheric science and substantial
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for development of course materials and teaching in primary class sessions. We expect the preceptor to help with two courses per semester. Instructional assignments will be made jointly by the Faculty Director of
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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
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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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research associates to develop and apply theoretical and computational approaches to study complex cell biological systems. The emphasis will be on combining statistical inferences and biophysical modeling