547 engineering-computation "https:" "https:" Postdoctoral positions in United States
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Associate I, Information Science Posting Number req25315 Department Information Science Department Website Link https://infosci.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights
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application) Doctorate degree or equivalent terminal degree in Engineering, Physics, Cognitive Science, Neuroscience, Biology, Computer Science, or any discipline related to the specialty/Unit applying for
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, abstracts for conferences, grant proposals Data analysis and pipeline development Technology-based solutions for advancing population health To be eligible, candidates must: Have received a PhD in computer
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. Qualifications Qualifications: PhD in Civil & Environmental Engineering, Hydrology, Geosciences, or a related field. Strong background in laboratory experimentation (microfluidics involving microbes, reactive
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existing and new computational methods to study multiscale processes in catalysis and photochemistry. Other projects that align with our general interest are also possible. Please see https://sdonglab.org
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their efforts on the education of students and the performance of life-changing research across a wide range of disciplines including medicine, engineering, physical sciences, energy, computer science, and social
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, computer science, physics, or engineering by the start date of employment. Strong expertise in one or more of the fields of scientific computing, data science, and quantum computing accompanied by strong programming
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and collaborate effectively. Experience in healthcare and medical device environments is highly valued. ● PhD in computer science, electrical engineering, biomedical engineering, cybersecurity
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reporting requirements on AI for Health research and projects. Required Qualifications Ph.D. in Biomedical Engineering, Computer Science, Electrical and Computer Engineering, Integrated Systems Engineering
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with