19 machine-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Pennsylvania State University
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the School of Engineering, including a large-scale machine shop for precision fabrication, advanced rapid prototyping capabilities, and a 10,500-square-foot plastics processing laboratory with industrial-scale
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, clinical trials, machine learning, optimization, or related methodological areas. Learning and applying deep learning, agentic AI, and other AI methods in assisting research is encouraged. Research
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and in vivo testing, mechanical design, machining, assembly, and polymer fabrication. The Division collaborates closely with surgeons, cardiologists, veterinarians, and commercial partners, and focuses
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background in one or more of the following areas: dynamics analysis of power systems, machine learning, cybersecurity, renewable energy, microgrids, hands-on experiences on hardware-in-the-loop projects
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recording research data; maintain computer database of research data. Supervise other personnel in the laboratory to coordinate research efforts for increased efficiency; participate in training of fellows
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experimental and/or data skills are welcome to apply. Experience in computer programming (e.g., Matlab, Python) and neuroinformatics tools is a plus but not required. Previous work with rats and basic surgical
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with HPC systems, machine learning, and GRB monitor data analysis would be an advantage. Additional Information Applications must be submitted electronically and include a cover letter, statement of
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, fast scanning calorimetry (FSC), small- and wide-angle X-ray scattering (SAXS/WAXS), and synchrotron X-ray techniques is highly desirable. Knowledge of programming and machine learning is also strongly
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. Qualifications and Requirements: Must have Ph.D. by the start of the appointment in Electrical/Computer/Mechanical/Materials/Nuclear Engineering or a related discipline. Must be a US citizen. Must pass the Sandia