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: Postdoctoral Researcher - College of Engineering Position Type: Faculty Location: Villanova, PA Recruitment Type: Internal/External Applicants Work Schedule: full-time/12-months Department: 959-Center for Energy
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heat transfer processes Use of advanced numerical methods (CFD, LBM, hybrid models) Utilization of high-performance computing (HPC, GPU) Analysis and validation of numerical results Optimization
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conditions. Optimize the MRTOF mass spectrometer for routine operation. Advance our spatially resolved laser ablation ion sources for mass calibration and spectroscopic applications Lead the Canadian Ba
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distribution systems. Current research initiatives include developing advanced vibration analysis methodologies for wooden packaging systems, predictive modeling for packaging performance, and optimization
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with other team members Work with collaborators on all aspects to improve the concepts, optimize the fabrication process & validate device functionality Your Profile: We seek a highly motivated individual with
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. This position will focus on designing, optimizing, and implementing chemical biology and sequencing-based approaches to better understand how RNA structure and dynamics influence protein recognition
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collaboration with external institutions for developing up to date science and at continent level in order to address real challenges. All our programs run as start-ups and can be self-organized when they reach a
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Position Details Position Information Announcement Number STAFF - VA - 27069 For questions regarding this position, please contact: Kimberly Hilmer Business Operations Manager kimberly.hilmer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
Post-Doc Research Associate Vacancy ID PDS004974 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 $47,476
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The QD group is looking for a highly motivated Postdoctoral Researcher to work on advances in controlling the emission properties of organic light-emitting diodes using nanoparticles embedded