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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | 4 days ago
analysis from liquid xenon test platforms studying ionization readout for future single- and dual-phase detectors Simulations and sensitivity projections for 0𝜈ββ with the XLZD experiment Beyond
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Duties Job Duty Conduct a range of neuroimaging and genomics-based analyses, design and implement computational models, and lead the preparation of manuscripts. Essential Function Yes Percentage of Time 30
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Duties Job Duty Conduct a range of neuroimaging and genomics-based analyses, design and implement computational models, and lead the preparation of manuscripts. Essential Function Yes Percentage of Time 30
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science
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» Informatics Computer science » Modelling tools Mathematics » Applied mathematics Mathematics » Algorithms Mathematics » Computational mathematics Mathematics » Statistics Physics » Statistical physics Physics
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vivo neuroscience experiments in rodent models of addiction. Design and conduct cutting-edge experiments, lead independent research projects, and contribute to collaborative, multidisciplinary studies
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experience with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly
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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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either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference