78 coding-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions at Saint Louis University
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solutions, including AI-enabled tools and data-driven applications, to enhance student career exploration, career readiness, and personalized career development. Essential Technical Skills: Data
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, and equity considerations in digital health and AI. Record of scholarly or professional contributions in data-driven healthcare innovation. Appointment Details Type: Adjunct, non-tenure track Rank
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-driven, physics-based simulations in VR/AR to facilitate the acquisition of complex physical tasks. This includes real-time feedback loops, biomechanical modeling, and adaptive training environments
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. Preferred qualifications: Experience with molecular modeling and/or structure-based drug design Salary: Commensurate with experience How to apply: Interested applicants apply online at https
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while shaping the future of legal information services in a supportive, mission-driven environment. Position Overview We are seeking an innovative and collaborative leader who will serve as either
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discipline Strong experience with high-dimensional biological data analysis Proficiency in R and/or Python for statistical computing and data analysis Solid foundation in statistics and data modeling
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modeling multiphysics solutions to complex problems in porous materials. Candidates with a background in experimental and/or numerical multiphysics modeling of porous media, applicable to both
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health and neuroinflammation. For more information on my research background and publications, please visit my ORCID profile: https://orcid.org/0000-0002-7691-8948 . Responsibilities: Perform Middle
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Education Policy faculty and graduate students, researchers in the SLU PRiME education policy research center, and SLPS administrative staff) to conduct research on Missouri education data, SLPS data
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consideration, application materials should be received by October 1, 202 6 . All applications must be made online at https://slu.wd5.myworkdayjobs.com/Careers/job/Allied-Health-Building/Faculty-Academic