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Field
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. Optimizes the performance and scalability of AI/ML workloads through algorithmic and system-level improvements, including evaluation and tuning of CPU vs. GPU usage for cost-effectiveness. Monitors and
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responsibilities will span all stages of research, including collecting data in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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Donnat, the assistant will preprocess raw omics data, conduct exploratory and multivariate analyses (e.g., PCA, CCA), and iterate on new algorithms for mutant detection and pathway discovery. The role is
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diagnostics and additional visits such as genetics. This is identified prior to the patient coming for the first time. This work must occur in a stepwise fashion to ensure smooth transitions and minimize
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for study sessions and documentation of experimental results. Job Description Primary Duties & Responsibilities: Assists research studies with implementation of: existing algorithms and computer software for
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Location Indianapolis Position Summary Are you passionate about genomics, big data, drug discovery, and AI/machine learning? Interested in advancing cutting-edge multi-omics research to explore genetic and
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of clinical, genetic, imaging, digital and biomarker data. Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease
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Opportunity Employer and does not discriminate against persons on the basis of race, religion, color, ancestry, age, disability, genetic information, gender, gender identity, gender expression, marital status
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machine learning techniques, predictive algorithms, and AI-powered tools to extract actionable insights to drive US Commercial strategies and tactics. Manage and mentor a team of data scientists (internal
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University of Illinois at Chicago, Department of Biochemistry and Molecular Genetics Position ID: 3556 -POSTDOC [#26261] Position Title: Position Type: Postdoctoral Position Location: Chicago