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and manipulating complex data structures, Bayesian modeling, analyzing nested longitudinal data, and who are familiar with techniques for handling challenging data (e.g., highly non-normal distributions
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will contribute to projects focused on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage
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using knock-in models of inherited retinal diseases, and contributing to the development of novel therapeutic platforms. The successful candidate will conduct independent and collaborative research
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as instructed. Purpose As a part of a multi-disciplinary, integrated research team, the candidate will participate directly in efforts to ground deformation assessment and numerical modeling of ground
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or computational modeling; prior research funding experience. Additional Information: The initial salary is competitive, based on qualifications and experience, and comes with excellent fringe benefits. Hiring
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
. Applicant must have (or expect to obtain shortly) a Ph.D. in Biological Sciences or related field. Experience with Neuroimmunology and/or Immunology is highly preferred. Proficiency in mouse models of disease
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, managing data, and conducting quantitative and qualitative analyses, such as multilevel modeling, causal modeling, quasi-experimental methods, survey design, and interviews Mission-driven with a passion for
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developing novel materials with engineered properties that go beyond those found in nature. Responsibilities Metamaterial Design and Simulation: Use electromagnetic modeling and simulation software, COMSOL
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Materials Characterization; Biomaterials, Bioinspired and Self-Assembled Materials; Energy Materials and Sustainability; Materials for Structural Applications and Extreme Environments; Modeling, Theory and
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sensing-based flood detection and mapping, and geospatial modeling. Two (2) years of postdoctoral experience in related research. Background Investigation Statement: Prior to hiring, the final candidate(s