24 experience-design-"https:"-"https:" Postdoctoral positions at Carnegie Mellon University
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comparable knowledge is demonstrated may be considered. Required Expertise: Candidates should have experience in: Modeling and design of MEMS resonators and acoustic wave devices Finite Element Analysis (FEA
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behavior. This role will emphasize assessment of engineered cells in configurations relevant to device integration. The postdoctoral associate will design and execute experiments to understand how engineered
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of the university through their work. Qualifications: Doctorate degree required 0-1 year of experience: Machine learning for engineering design and simulation A combination of education and relevant experience from
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, Molecular Biology, Synthetic Biology, or a closely related field 3-5 years of experience Experience designing and executing quantitative cell-based experiments, including cell viability, proliferation
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Optical Coherence Tomography design and instrumentation. The goal of the project is to design and develop novel swept source and spectral domain OCT systems enhanced by ultrasound for structural and
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phased array design CAD to design device layouts Packaging of ultrasonic transducers Benchtop characterization of ultrasonic systems and hydrophones A combination of education and relevant experience from
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experience in: Design of integrated photonic devices Linear and nonlinear photonic device testing Finite element analysis (FEA) Micro- and nano-fabrication Knowledge in quantum optics/physics is a strong plus
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helping to design and implement model scenarios, with careful attention to uncertainty, technology evolution, and policy dynamics. Other duties as assigned. Adaptability, excellence, and passion are vital
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, involving the design, microfabrication and benchtop characterization of neural interfaces for multimodal recording and stimulation of the central and peripheral nervous system. The postdoctoral researcher is
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research experience in industry or government also considered); Demonstrated record of teaching excellence in academic settings including hands-on training or training others in computational skills