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intervention development, implementation, and evaluation. · Collaborate with other division members to enhance and complement our core strengths in community-engaged research, mixed-method studies, social
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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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audiences. This includes formal meetings, academic conferences, workshops, and training sessions. Contribute to innovations in theory and research methods. Respond to media inquiries related to PERIL research
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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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technical skills who are interested in applying AI methods to urban challenges and are considering pursuing a PhD in the near future. Note: The job is situated in Ann Arbor and daily on-campus work is
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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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also be opportunities to contribute to numerical simulations and formal asymptotic analysis. The project will involve tools from: Spectral theory and functional analysis, Dynamical systems and modulation
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on the progress of research. Strong ability to prepare and edit scientific papers, manuscripts, and lab data. Experience presenting research to formal audience. Demonstrated ability to work independently or
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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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develop new modeling methods and new models; they will apply those models to simulate neural responses and design new therapies. The applicant will also gain exposure to other projects in the lab, spanning