14 parallel-computing-numerical-methods Postdoctoral positions at The University of Arizona
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, including but not limited to AI; analyzing user behaviors, perceptions, and learning outcomes with computational and/or mixed methods; and publishing in major conferences and journals in information and
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productivity while reducing external inputs. In parallel, the lab is expanding efforts to understand microbiome-associated phenotypes that contribute to drought tolerance and soil water retention. This includes
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, including high‑resolution structural imaging and task‑based fMRI methods. In addition to contributing to all phases of the research, the Postdoctoral Fellow will take a leadership role in disseminating
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Postdoctoral Research Associate I, Psychology (Genetically Informed Studies of Social Connectedness)
applicant with demonstrated experience with advanced statistical methods, including a focus on causal inference, bioinformatics and computation (more broadly), or other cutting-edge analytic tools
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Treatment Study: Daily monitoring of sleep diaries, Fitbit data, and pre- and post-assessments using the NIH toolbox. Knowledge, Skills, and Abilities: Knowledge of methods for collecting and analyzing
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. Teamwork and collaboration. Scientific data analysis skills with application of theory, frameworks, and computational science skills. Familiarity with data science software. Academic writing skills. Public
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Engineering, Electrical & Computer Engineering, and Planetary Sciences. We provide direct access to various world-class observational and computational facilities for ground-based radio and optical observing
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projects. Utilize and troubleshoot new research methods. Maintain accurate and detailed records of all laboratory work and experiments. Foster collaborations within the Department and with other units across
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of Arizona's Linguistics Department seeks a Postdoctoral Research Associate to lead an undergraduate research team focused on noninvasive Brain-Computer Interfaces (BCIs) and consciousness. This role offers
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networks in the heart with the goal of developing methods for the early diagnosis of heart disease as well as novel treatment options by employing state-of-the-art computational approaches. The ideal