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Volume imaging with transmission EM and multibeam scanning EM Maintenance of microscopes and other instruments Training collaborators at PNI on EM procedures Essential Qualifications: PhD degree in
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models, programming, and quantitative methods. Preferred qualifications include experience in reinforcement learning, neural networks, and/or statistics. Questions can be addressed to Professor Nathaniel
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semesters during the 2025-2026 academic year. Positions would have an expected start date of September 1, 2025, or January 16, 2026. Individuals must possess a PhD in a related field of interest
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enrollments and may be for one or two semesters during the 2024-25 academic year, with the potential for renewal depending on departmental need. An advanced degree is required; PhD or doctoral candidates
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of supplies, reagents and samples. Minimum Required Knowledge, Skills, Competencies, and Abilities *PhD required *Prior experience working in a research environment *Experience in working in a microbiology lab
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Laboratory for Artificial Intelligence. The appointment is expected to begin July 1, 2025. Essential Qualification: PhD or equivalent degree in a relevant discipline. To apply, visit and submit a current CV
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technical writing skills is essential (preprints are welcome). Candidates must have (or expect to soon receive) a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering
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dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus.Candidates should apply at
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automated high-throughput imaging. The scientist will manage engineering teams, oversee hardware-software integration, and foster team leadership and development within a multidisciplinary environment. Key
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advanced microscopy techniques and related methods. Candidates who are nearing completion of their Ph.D. (i.e. with a confirmed defense date) or hold a Ph.D. in chemical engineering, chemistry, materials