10 modelling-complexity-geocomputation Postdoctoral positions at Saint Louis University
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theoretical aspects of wave propagation and complex systems. Experience with optical experiments, numerical simulations, or computational modeling. Programming and simulation skills in MATLAB, Python, COMSOL
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-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. Social & Soft Skill
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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 terrestrial and
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-omics and Longitudinal Modeling in Alzheimer’s Disease Appointment: Full-time, 1-year term (renewable pending funding and performance) Position Overview We are seeking a highly motivated Postdoctoral
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qualifications: Experience with molecular modeling and/or structure-based drug design Salary: Commensurate with experience How to apply: Interested applicants apply online at https://slu.wd5.myworkdayjobs.com
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opportunity to advance your research career within a collaborative and innovative environment. About the Role: As a Postdoctoral Fellow, your work will directly contribute to our understanding of complex
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(metagenomic/transcriptomic analysis). These are critical for interpreting complex datasets and translating them into publications for supporting grant proposals. c) Mentoring and training graduate students
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) surgeries to model ischemic stroke in mice. Conduct biochemical assays to analyze lipid signaling, enzyme expression, and oxidative stress markers in brain tissue. Perform Western blotting, PCR
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interaction of the thrombin-thrombomodulin complex with protein C that halts the coagulation response. Additional studies focus on factor V short and its interactions with TFPIalpha, protein S and factor Xa and
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considerations in research involving human subjects. PREFERRED QUALIFICATIONS Expertise in epidemiological methods and study design. Experience with longitudinal data analysis and complex survey design. Knowledge