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neuromorphic architectures; deep knowledge about our brain and how it makes decisions; coding reinforcement learning algorithms/feedback systems and simulators; electrical/electronics background with
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Sep-25 Location: St. Louis, Missouri Type: Full-time Categories: Academic/Faculty Medical - Research Additional
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Center’s mission is to create the theoretical, computational and algorithmic paradigms that will enable us to understand the programs of life and how they connect across scales, from proteins to cells
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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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computational approaches to uncover novel biomarkers and therapeutic strategies for CNS disorders. Key Responsibilities: Develop and implement algorithms for multimodal image fusion, combining data from MRI, PET
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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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of Radiology, within WashU Medicine in St. Louis, a top-ranked medical school in research. The candidate will work on identifying multimodal biomarkers, specifically leveraging magnetic resonance imaging (MRI
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of biomedical research. You will benefit from access to unique datasets and expertise, a top-ranked scientific environment, and superb benefits, mentoring, and professional development. St. Jude is seeking
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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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Position Summary The Turner Lab at WashU in St. Louis focuses on advancing the emerging field of Precision Genomics, which we define as “determining all possible relevant genomic variation within