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Field
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experimental evaluation of algorithms. Prepare and publish research findings in peer-reviewed journals and present results at conferences. Assist in the mentorship of graduate and undergraduate students
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pipelines for large-scale scattering datasets. Participate in synchrotron experiments at APS beamlines to generate datasets that support algorithm development and validation. Work closely with ISAAC
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associate will work both independently and collaboratively to develop and apply novel deep learning algorithms and/or computational chemistry methods for small-molecule drug discovery targeting RNA
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developments in sensor design, dataset transmission, data analysis, and numerical modeling to distinguish between normal and abnormal features. Here, the goal is to develop machine learning algorithms
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opportunity to develop cutting-edge AI-enhanced algorithms for analyzing transposable elements (TEs) in cancer epigenomics, with direct translational applications to precision oncology and immunotherapy
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for assisting the PI in the development and submission of data reports and presentations required by the funding agencies that sponsor/support research activities in the IMPACT Lab at JSNN. These reports require
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Develop collaborative relationships with faculty and researchers across Harvard schools and engage substantively with research communities at the Kempner Institute for the Study of Natural and Artificial
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guiding new mathematical and algorithmic developments. A Ph.D. in mathematics, physics, computer science, or a closely related area is required. To be considered for the initial review, with an intended
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setups and develop methods for in-situ diagnostic and monitoring additive manufacturing (AM) processes toward the 3D printing of metal alloys and ceramics. The successful candidate will use optical and
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-class S&T products for sensitive national security missions. The selected candidate will support research efforts in signal processing and analysis, with an emphasis on the development of novel algorithms