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-based and AI/ML approaches. This position focuses on high-resolution Earth system modeling and the analysis of convective storms and weather and hydrological hazards to improve predictability
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dopamine release in motor control. We are seeking self-motivated individuals with a strong background in synaptic biology, neuronal culture and live cell imaging to conduct quantitative analysis using novel
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deformation, strengthening, and failure in advanced alloys. The research will focus on integrating microstructure characterization, in situ diffraction techniques, and mechanical testing to uncover processing
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battery systems using techniques such as: thermogravimetric analysis (TGA) TGA-mass spectrometry (TGA-MS) and related methods Broad understanding of materials science concepts relevant to electrochemical
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techniques and strategies for electrochemical measurements and post-mortem analysis. Write reports and high impact papers, and present research at conferences. Develop or support the development
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or biological systems. The candidate will work in a multidisciplinary team, including physicists, biologists, and engineers, and will lead the effort in multimodal data analysis at the APS beamlines. May be
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editing). Familiarity with flow cytometry and data analysis using software such as GraphPad Prism, R, or Python. Excellent organizational, record‑keeping, and communication skills Equipment Utilized
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Qualifications Strong background in receptor signaling (insulin/IGF‑1 axis preferred). Experience with in vivo mouse models and mammalian cell culture. Proficiency in data analysis using statistical software (e.g
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Johnson Medical School. Under the direction of Dr. Zhiping Pang (PI), the Postdoc(s) will be responsible for the design, analysis, interpretation and presentation of experiments regarding the study of
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Associate will be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the disease mechanisms of various brain disorders using murine models and iPSC