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. Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral scholars appointed through the Office of
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environment. OUR MISSION: Support Energy transition by providing innovative composite solutions or optimizing the usage of existing solutions in demanding Energy and Mobility applications. Our laboratory
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, characterization, and application. Demonstrate knowledge and/or experience in sensor processing including design, fabrication, and characterization. Conduct research to design, develop, and optimize sensors
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: Conduct experimental research to advance the understanding of thin film deposition processes using PVD techniques such as magnetron sputtering Optimize deposition parameters to achieve desired thin film
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, safety, and compliance. Perform preventive maintenance on laboratory equipment to keep them in optimal working condition. Conduct experiments related to identifying metabolites in plant and biological
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reproductive biology and want to work in a highly collaborative and innovative environment, we encourage you to apply. To apply, please email the required application materials to both Dr. Matteo Molè (mmole
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
Post-Doc Research Associate Vacancy ID PDS003571, Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range Proposed
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joining our team and exhibiting your passion and pride in your work as part of our UNT System team. Learn more about the UNT System and how we live our values at www.UNTSystem.edu . Department Summary CMEE
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, including adaptive (resilient) responses and complications such as PGD. This position also offers a unique opportunity to work with rich, multimodal longitudinal datasets from both acutely and chronically
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techniques. The research will integrate ab initio-based modeling and DFT calculations with experimental data to enhance the understanding and optimization of the proposed materials as sorbents or possible