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Field
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Associate in PFAS Predictive Modeling with the University of Maine Cooperative Extension will establish and sustain a dynamic research and educational outreach program to address data and modeling needs
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., DepMap, PRISM) Common bioinformatics resources and pipelines (e.g., NCBI, Ensembl, BWA, STAR, GATK, VarScan, DESeq) Proficiency in Linux and programming languages such as Python, R, MATLAB, or Perl
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pipelines; and should be prepared to integrate internal experimental data with public protein databases such as UniProt, PDB, Ensembl, BioPlex, DepMap, and others. Responsibilities : Develop and maintain a
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multi-model large ensemble datasets under the Regional Aerosol Model Intercomparison Project (RAMIP), the Researcher will help quantify the role of aerosols—relative to greenhouse gases—in shaping
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multimodal datasets. The goal is to generate predictive models that provide valuable causal and probabilistic insights into clinical and population health outcomes. In addition to technical research
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biophysicist familiar with the laser trap and in vitro motility assays. These skills will be used to characterize the single molecule and mini-ensemble properties of three different classes of myosin: muscle
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atmosphere models to simulate observations of ensembles of transiting exoplanets and their host stars to interpret observations with the Hubble and James Webb Space Telescopes, and the NASA Pandora SmallSat
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with Dr. Emily Becker and the NOAA Climate Prediction Center. Key responsibilities Train neural networks and quantify uncertainty to evaluate predictability Perform explainable AI (XAI) related research
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superconducting behavior, utilizing NV centers in diamond and spin defects in 2D materials in variable-magnetic-field cryogenic environments. The candidate will leverage single- and ensemble-spin based sensors
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applicant will work closely with industry sponsors who will help to guide the project. The Elbert lab and the industry partner are interested in developing mechanistic, predictive models of neurodegenerative