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mechanical tests on a dual-actuator loading frame, and acquiring full-field deformation data using three-dimensional digital image correlation (DIC). On the numerical side, this involves building
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. common genetic variation 2. Developing methods to analyze GWAS data using graphical models and genome-wide genealogies 3. Developing methods to integrate rare protein coding genetic association data with
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intelligence; publications--or potential for publications--in academic journals in the field; coding proficiency, preferably in Python; excellent communication and presentation skills; self-motivation
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immobilization, patient positioning, image guidance, and treatment delivery. The goal of this work is to advance safe and effective clinical implementation for pediatric patients. Located in Boston and the
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positioning and anatomical changes over the course of treatment Develop automated tools for: image registration dose evaluation adaptive planning quality assurance Perform end-to-end validation of the
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, human-in-the-loop proofreading of automated cell reconstructions, active-learning approaches for efficient annotation, and self-supervision approaches for tokenizing image datasets and cell
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applications from women and minorities. If you are interested, please provide the following documents: A one-page cover letter briefly describing your academic career, research experience, coding experience
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interested, please provide the following documents: A one-page cover letter briefly describing your academic career, your interest in finance and policy, research experience, coding experience, future
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training in intervention trial research, evaluation science, or implementation science Experience coding implementation strategies and/or behavior change techniques is highly desirable Experience analyzing
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mechanisms, and ozone depletion and radiative forcing by these gases. Additional information about AGAGE and CS3 is available at https://agage.mit.edu and https://cs3.mit.edu . REQUIRED : Ph.D. in a relevant