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presentation of results. Required Education: PhD in Materials Science and Engineering Desired Education: PhD in Materials Science and Engineering Required Experience: Extensive experience with scanning and
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/urn:aaid:sc:US:248f6457-08cc-4df4-af2d-f1bd9ea7cc92 Job Requirements REQUIRED: PhD in civil engineering, structural engineering, materials engineering, materials science, or related field; expertise in
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application materials must be submitted via Academic Jobs Online, https://academicjobsonline.org/ajo/jobs/31841, by April 15, 2026. Cover page (generated via your AJO account): Curriculum vitae Statement
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society are required. Knowledge and skills of GIS and spatial studies are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials
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Milstein Program Postdoctoral Associate Call for Applications: Milstein Program Postdoctoral Associate Open to Cornell PhD Candidates and Recent Cornell PhDs The Milstein Program in Technology and
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functions beyond protein production, with ongoing projects investigating the mechanisms of mRNA packaging and organization and their connections to human diseases. More information is available at https
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University of California Riverside School of Medicine | Riverside, California | United States | 3 days ago
includes substantial peer input. Requirements: PhD or PhD/MD in Neuroscience, Physiology or a related field. Competitive applicants will have at least one high-quality, first-author publication. Salary
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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; and be central to demonstrating that autonomous materials discovery can produce real improvements in photovoltaic performance and stability. The full job description is available, here: https
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (https://foylab.xyz/ ), focused on developing computational methods to enhance how we collect, analyze and use clinical