248 parallel-computing-numerical-methods-"Simons-Foundation" positions at Loyola University
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relevant field, with expertise in statistical and analytical methods in genomics, ecology and evolution. The position is for one year with the possibility of renewal for additional years based on performance
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to conduct evaluations according to the Study protocol. Participate in regular calibration sessions with other Study personnel to ensure consistency and standardization in data collection methods. Utilize
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personnel to ensure consistency and standardization in data collection methods. Utilize standardized assessment tools and protocols to ensure consistency and reliability in data collection across all
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, Biophysics, Biochemistry, Molecular biology, etc) .Extensive expertise in computational modeling of proteins and/or computational method development. Certificates/Credentials/Licenses A PhD is required in a
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Engineering students take is Linear Systems, Numerical Methods/Control Theory, and Introduction to Digital Signal Processing. Each capstone design project begins with a student team constructing its system
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research related responsibilities will be developed in consultation with Dr. Maria Vidal de Haymes and may include project management, program evaluation, data management/analyses and manuscript preparation
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development of detectors sensitive to ultra-high dose rates. Developments of computation methods for small-field dosimetry, radiation detection systems used in photon, proton, and electron beam radiation
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to detail, and willingness to learn new methods. Ability to work independently as well as courteously in a team-oriented environment. Ability to follow oral and written instructions and established procedures
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experimental methods, and helping develop novel hypotheses about the visual perception of shapes. The data collection work involves posting timeslots on SONA and running in-person experiments on Loyola campus
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. Performs analysis of biological literature, including analysis of primary scientific literature. Analysis requires familiarity with basic methods in microbiology, biochemistry, cell biology and molecular