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/Administrative Internal Number: 527353 Pay Grade/Pay Range: Minimum: $62,300 - Midpoint: $81,000 (Salaried E10) Department/Organization: 214251 - Electrical and Computer Eng Normal Work Schedule: Monday - Friday
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, refining, separation, process optimization, and simulation. The postdoctoral researcher will be supervised by Drs. Junli Liu and Nathan Mosier. Interested candidates should submit an application containing a
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of retinal degeneration. Online Application Required Documents Curriculum Vita Name and Contact Information of References Letters of Interest Number of References: 3 To start the Online Application process
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laser-based processes to various materials and in particular, shape memory alloys. Preferred Qualifications: Ph.D. in Mechanical Engineering, Materials Science, or a related field. Ability to conduct
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health status, gender identity/expression, and socio-economic status. An important part of our evaluation process will be the contributions candidates would make - through background, past experiences and
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Job Description Applications are invited for a full-time Research Assistant Professor position in Virginia Tech's Bradley Department of Electrical and Computer Engineering. The successful candidate
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novel strategies to treat seizures and cytotoxic edema, especially in neonates. To reach this goal, we are addressing the following questions: 1. How does the brain inhibitory system work at the cellular
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
application process, please contact the Department for People Operations, Success, and Opportunity at (252) 328-9847 or toll free at 1-866-489-1740 or send an email to employment@ecu.edu. Our office is
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collaborative efforts among researchers at the University of Utah and UC San Diego in developing and applying methods in predictive and causal modeling of complex biomedical and social processes and systems