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computer programming in R and Python *Formal training or experience applying quantitative and spatial methods to human-environment questions *Excellent academic writing and communication skills in English
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
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, which is required to comply with federal regulations and contract” This level of knowledge is typically achieved through a formal education in a related field at the PhD level with zero to five years
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and brain that explain vision loss, building on our previously-developed method linking clinical, neural and behavioral data (Allen et al., 2018; Miller et al., 2019; Pedersini et al., 2023). We combine
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disparities for communities and populations. Candidates will receive mentorship and training in precision health, including advanced statistical methods focused on predictive modeling in relation to response
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support the CPP research, grant applications, and outreach. During the academic year the fellow will teach one or two courses. Position Qualifications: Required: PhD in Public Policy, Political Science
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development of standardized methods for local and national application. Qualifications PhD in a relevant field such as climatology, environmental science, data science, public health, or a closely related
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tenure-track faculty members, 1250 undergraduate students, 1400 master’s students, and 600 PhD students. Housed within a university renowned for its programs in the liberal arts, medicine, business and law
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career path in the chosen field, this position requires a formal mentor plan and Individualized Development Plan. Positions are limited duration, funding contingent appointments that may be part-time or
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and laboratory-based methods to investigate the long-term frequency and magnitude of historic and prehistoric earthquakes and tsunamis at the Cascadia, Alaska, and Chile subduction zones. The data