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observational data of non-CO 2 greenhouse and ozone-depleting gases (e.g., N 2 O, CFCs, HFCs), and to extract diagnostic insights from instrument performance indicators, using machine learning methods
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perception built with machine learning. They will build on the lab's expertise in deep computational models of the auditory system and in particular on recent work building models of prosthetically
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recent advances in genetics and genomics, and through collaborations with groups using machine learning. We are developing and applying tools to understand how implicated genes act in neurons and
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, medical imaging (ultrasound and micro-CT), and AI/machine learning approaches. The successful candidate will lead project design, coordination, and experimental execution, providing leadership in
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. This is an exciting opportunity for a postdoctoral researcher who wants to do meaningful, clinically grounded work in medical imaging AI. This position focuses on leading the analytic and machine
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effective connectivity Create personalized 'digital twins' of patient brains to identify recruitable language function and viable neuroprosthesis targets Computational Modeling & Machine Learning
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complementary expertise in scientific machine learning and constitutive modeling of anisotropic and compressible materials. Minimum Qualifications Required PhD in mechanical engineering, aerospace
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functional and machine learning-derived features 4. Developing methods to characterize the genetic architecture of autism Salary and Benefits This position is salaried and benefits eligible
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Technology (MIT), and Tufts. Minimum Qualifications Required PhD in Physics or an adjacent field, such as Mathematics, completed by the start of the appointment Knowledge of High Energy Theory and Machine
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BOSTON, Massachusetts, Dr. Vokler Hovestadt is hiring a Postdoctoral Research Fellow- Biostatistics/Machine Learning for his lab! The Hovestadt Lab in the Department of Pediatric Oncology at Dana