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integrated approach, combining genomics, computational and structural biology and neuroscience, as well as data and decision sciences. HT is an interdisciplinary research institute, created and supported by
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in Neuroscience, Biomedical Engineering, Computational Biology, or a related field. Strong background in signal processing, including neuroimaging and/or electrophysiology (EEG, MEG) data analysis
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forefront of neuromechanics and assistive robotics. Our work bridges neuroscience, biomechanics, and robotics to develop real-time models of joint biomechanics and adaptive control strategies for wearable
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, and a leading Biobank of samples. We encourage applications from enthusiastic and motivated candidates with a PhD (awarded or imminent) in Neuroscience, Molecular Cell Biology, or a related discipline
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Apply now Job no:534905 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Biology/Life Sciences, Research/Scientific/Grants Department: Center for Translational Neuroscience Rank
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expected that the successful candidate will contribute to the computational analysis of multi-omic data that will be generated during the project. The candidate must hold or be near completion to a PhD/DPhil
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approaches for important questions in neuroscience. We have multiple current and incoming NIH projects to establish cellular cell type architecture maps of mammalian brains using mice as an animal model. Three
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Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience A PhD degree in Neurobiology, Molecular Biology, or a relevant science, with knowledge of neuroscience and
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The Princeton Neuroscience Institute at Princeton University currently has research positions available at the postdoctoral or more senior research levels in the areas of neuroscience, psychology
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. Integrating HD-EMG decomposition algorithms with the CEINMS-RT musculoskeletal modeling framework to enable efficient real-time computation of joint kinetics. Developing and validating motor unit-driven