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research within past five years. Preferred Qualifications: Ability to work independently to design and deploy methods at scale. Familiarity with hardware-software co-design, memory hierarchies (DDR, HBM
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dynamic metabolic processes within microfluidic systems. Integrate microfluidic platforms with NMR hardware, including fluidics interfacing, probe adaptation, and spectral acquisition optimization. Analyze
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into energy and battery management systems. • Collaborate with industrial partners on validation through hardware-in-the-loop testing and real-world demonstrations. • Contribute technical evidence for
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manner. Ensure compliance with environment, safety, health, and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics. Deliver ORNL’s mission
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and maintenance prediction and integrate analytics into energy and battery management systems. • Collaborate with industrial partners on validation through hardware-in-the-loop testing and real-world
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Industry/University Cooperative Research Center for use-inspired R&D to advance wind energy science & technology. UTD Wind is also a member of the Ocean Safety Energy Institute (OESI), a consortium of
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management skills. Strong interpersonal and mentoring skills. Advocate for safety and ethics in the workplace. Preferred: Experience with integrated CMOS circuit design, verification, and tapeout in standard
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general. Excellent project and time management skills. Strong interpersonal skills and mentoring skills. Advocate for safety and ethics in the work place. Preferred: Hands-on experience with vacuum system
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) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation
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contributions to experiments at Fermilab (SeaQuest, SpinQuest) and PSI (MUSE) Detector hardware leadership, including the ALERT time-of-flight detector, the ePIC Barrel Imaging Calorimeter, and the SoLID detector