13 parallel-computing-numerical-methods-"https:" research jobs at Saint Louis University
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transport in systems such as multiple-scattering media and multimode fibers. The position involves developing advanced optical experiments, conducting numerical simulations, and engaging closely with
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clinical context, with emphasis on Alzheimer’s disease mechanisms and biomarkers Prepare figures, tables, and methods for peer-reviewed manuscripts and conference presentations Collaborate with
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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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recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. Premila’s research group (https://sites.google.com/view/premila
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, cloud computing, and data analytical skills MINIMUM QUALIFICATIONS FOR SENIOR GEOSPATIAL RESEARCH SCIENTIST Master’s degree in geospatial science, geography, earth science, or closely related fields such
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, SKILLS, AND ABILITIES Doctoral degree in a relevant field (e.g., public health, psychology, psychiatry) with a strong background in quantitative research methods. Experience conducting research in the
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in quantitative research methods. Experience conducting research in vivo and in vitro. Proficiency in statistical analysis software such as Stata, R, or SAS. Strong interpersonal and communication
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institutional research activities to support University planning, decision-making, and process/program improvements; applies methods of social research and statistical analysis to issues related to student
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group led by Dr. Marvin Meyers in the Department of Chemistry (https://www.slu.edu/science-and-engineering/academics/chemistry/faculty/marvin-meyers.php). This work involves the organic synthesis of new
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successful candidate will contribute to and lead research in the following areas related to our current and past projects https://gxrlab.rf.gd/research/ : Intelligent Motor Skill Learning: Developing AI