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Field
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to offer. Qualifications: Required: PhD in ecology by start date Experience in plant phenology, biogeography, and spatial and temporal modeling (Bayesian and frequentist) Expertise in R or Python, GIS, big
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of reports, dissertations and end-of-study papers. Skills Expertise in the following fields: Chemical and process engineering. Modeling (first-principles and data-driven models), simulation and optimization
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | 1 day 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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modification. By marrying first-principles theory – trade-off analysis, game theory, reaction-diffusion, and consumer-resources models – with single-cell tracking and synthetic community experiments
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injection, ion transfer, and structural dynamics in realistic and model systems for battery materials. The position will span experimental efforts at large scale X-ray facilities, handling and reduction
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& NCO & CDO, etc.), and have demonstrable expertise in the analysis of big data, and the interpretation of climate/weather observations/reanalyses and model simulations. Additionally, experience with
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. Develop simulation environments and digital twins using tools such as Gazebo, NVIDIA Isaac Sim, or Unity to model the CEA environment as well as robotic perception, navigation, and manipulation tasks
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publications Presentation skills Experience working with mouse models Knowledge of bioinformatics Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience