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develop new modeling methods and new models; they will apply those models to simulate neural responses and design new therapies. The applicant will also gain exposure to other projects in the lab, spanning
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disparities for communities and populations. Candidates will receive mentorship and training in precision health, including advanced statistical methods focused on predictive modeling in relation to response
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preparation, including writing methods sections, refining figures, and performing statistical analyses Piloting new techniques and assays before implementation in broader lab projects Monitoring relevant
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. Qualifications Minimum Education and Experience PhD (or relevant terminal degree), or a relevant Master’s degree with at least 5 years of formal post-degree professional work experience Other Required
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tenure-track faculty members, 1250 undergraduate students, 1400 master’s students, and 600 PhD students. Housed within a university renowned for its programs in the liberal arts, medicine, business and law
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life cycle models (waterfall, spiral, and so forth), domain engineering methods, requirements analysis methods (including formal specifications), software design principles and methods, verification and
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that enable evidence-based decision-making in public and private sectors. The Interdisciplinary Sustainability Decision Support Researcher will be critical to the implementation of mixed-methods approaches
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understanding of enrichment devices using analytical methods and computational tools such as finite element analysis (FEA). The Senior Electric Motor Researcher will provide research and development (R&D
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Research Asst/Assoc/Full Professor, Department of Biostatistics, Health Informatics and Data Science
, research associates and faculty. Minimum Requirements PhD degree with formal training in at least two of the following areas: biostatistics, data sciences, computational methods, knowledge retrieval
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engineering. Areas of interest include, but are not limited to, natural language processing, cybersecurity, computer vision, robotic process automation, multi-agent systems, formal methods, automated software