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outcomes. The individual will be expected to develop stimulation strategies and testing algorithms, write code, and develop software. They will do extensive validation and testing, under the supervision
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-doctoral Associate will develop algorithms and theory for machine learning methods, as well as implement and apply ML methods to problems in domains such as computational biology and neuroscience. This is a
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across time and contexts. Job Description: You will develop and apply mathematical models and machine learning algorithms to analyze the structure and evolution of knowledge systems across different
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validate signal processing algorithms and stimulation strategies using electrophysiological and behavioral data. Develop GUIs, psychophysical test protocols, and objective outcome measures (e.g., ECAP, ABR
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outcomes ●casual representation learning for real-world data ● deep learning interpretation, fairness and robustness ●Regularly conduct computational experiments to execute algorithms on various health and
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arrangement agreements on a temporary or permanent basis for any reason at any time. Work Schedule: Normal business hours are expected, with an expectation that the timeline for some experiments will require
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postdoctoral salary; professional development funds to attend a training or national conference each year are also available. Qualifications Postdocs must have (or will complete before the scheduled start date
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weeks) Responsibilities On-Call Duties: Fellows are expected to be on-call (carrying the chemistry pager) according to the Chemistry Call schedule. Additionally while on call fellows are expected
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equipment, including specialized equipment relating to particular fields of microbial and soil ecology research, and use of motor vehicles for sample collection. ● Schedule: Work may require occasional