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the Division of Population Sciences at Dana-Farber our work involves diverse scientists from various scientific domains and collaborations with division faculty members who are experts in human genetics
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algorithms for classifying modes of locomotion and assessing fall risk; iv) integration and control of balance recovery through slip detection tools in a commercial exoskeleton, using ROS2, DMPs, CPGs, and
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analyses for latent spaces formed from neural, genetic, and behavioral data. Mission Statement Michigan Medicine improves the health of patients, populations and communities through excellence in education
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with applications to aerospace systems Designing, implementing, and testing control algorithms in simulation and hardware platforms Contributing to publications and reports; presenting research findings
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activities will be developed in the Power Electronics area, focusing on programming control algorithms on a Xilinx FPGA. This project aims to implement internal fault tolerance in a power electronics
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; Develop algorithms that adjust the type of pedagogical scaffolding. The goal is always to guide the student without giving the answer, but the way of guiding will be the focus of the adaptation. Fine-tuning
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architectures for explainable dual-process computation Design and development of deep neural network architectures and algorithms for the implementation of dual process computation approaches that improve
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algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
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algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
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such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in English Desired qualifications: Experience with research on epidemiological