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, Information and Learning (SIIL) Group is seeking a Postdoctoral Researcher to perform research in the area of statistical signal and array processing with application to quantum theory and information
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at this Level Education/Training: PhD (theoretical nuclear/high-energy physics, quantum information science, lattice gauge theories, quantum many-body dynamics) Experience: Preferred--computational experience in
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simulation methods, GPU-accelerated computations, several programming languages, and presenting results to wide technical and non-technical audiences. Additionally, the candidate will also develop theory and
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. Required Qualifications at this Level Education/Training: PhD (theoretical nuclear/high-energy physics, quantum information science, lattice gauge theories, quantum many-body dynamics) Experience: Preferred
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., conservation, climate, fisheries). Through this, we will uncover the diverse conceptualizations of equity amongst ocean actors and their theories of change of how it affects outcomes, and the contextual factors
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related field • Strong quantitative background (e.g. ecological theory and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated
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-principles, network-based framework for plant water and carbon transport under climate extremes. The successful candidate will work at the interface of plant physiology, fluid mechanics, network theory
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, real-world datasets (e.g., panel data, clickstream data, intervention data, survey and psychometric data) • Contributing to theory development in behavioral economics and social science by connecting
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understanding of thermodynamics and kinetics of materials, solid-state physics, crystallography/group-theory, and inorganic chemistry. · Solid communication skills, both verbal and written. · Strong