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performance utilizing a variety of tools including life-cycle assessment (LCA), machine learning techniques, and/or optimization methods. This position will carry out state of the art research into the
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/1qx5sh5sxjki1ivmnqvbr/JHM_PDA_092826.pdf?rlkey=tjei3tmocexxesccofble867f&st=og3o855s&dl=0 REQUIRED : PhD in a field of quantitative science; strong background in machine learning and signal processing; experience with
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or electron microscopy, operando spectroscopy, electrochemical scan probe microscopy, and machine learning for materials discovery. The successful candidate will contribute to materials synthesis
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computer vision and machine learning, preferably including human pose estimation, video understanding, skeleton-based learning, spatiotemporal models, graph neural networks, transformers, or multimodal
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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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, 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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, machine learning and artificial intelligence; publications in academic journals in the field, and/or a strong pipeline of potential publications in the field; proficiency with coding in programming
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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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, machine learning, human-AI interaction, or computational social science. Experience applying computational methods to behavioral, organizational, or economic questions is particularly relevant. All