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Field
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at the University of Oregon may be found by visiting the Institute's website at: http://materialscience.uoregon.edu. Position Summary The Materials Science Institute seeks qualified applicants for its open research
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research processes and procedures in the laboratory. Assists in the acquisition and analysis of data. Supports the Principal Investigator’s plans, developments, and implementations of laboratory and research
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skills, excellent written and oral communication skills, and the ability to work independently and with collaborators. A track record of original first-author publications or conference proceedings from
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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tools in research. Excellent written and oral communication skills, with a proven track record of publishing scientific papers and delivering presentations. Experience with machine learning techniques
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Abilities: *Ph.D. in Physics or related discipline is required within the last 5 years. *Candidates must have excellent written and oral communication skills, be self-motivated and able to work independently
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policy and other relevant areas; Excellent written and oral communication skills; An ability to engage in team-based science and work collaboratively across methodologies and disciplines; Commitment
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platform-specific physics knowledge, be it in ultracold neutral atoms, trapped ions or superconducting qubits. This may also involve investigation of the decoherence processes and related question
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at the intersection of active transportation safety and AI (e.g., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision
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Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor