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Field
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Experience: Knowledge of AI frameworks and algorithms, particularly those related to decision-making and ethical AI. Machine Learning Experience: Knowledge of ML techniques, including reinforcement learning
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electronic systems with a focus on inverters and active filter-based harmonic mitigation, thermal performance, and control strategies. Develop and implement advanced control algorithms for real-time operation
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formats. Experience with AI and deep learning algorithm development for medical image analysis. Familiarity with SQL, Python, Tensorflow, Scikit-Learn, and Pandas. Additional Qualifications Considered
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control strategies. Develop and implement advanced control algorithms for real-time operation and performance enhancement of power electronic converters and transformer-based solutions. Perform hardware-in
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, work, experiments, and other pertinent research information. Expectations: The Postdoc will be expected to complete research projects under the guidance of the faculty mentor, record and interpret
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in cancer therapy, offering substantial benefits to the pharmaceutical industry. The postdoc will work closely with interdisciplinary teams, gaining access to cutting-edge technologies and resources
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, publishing technical validation data sets on in vivo cell therapy constructs, and help advance our in vivo cell therapy pipeline projects. The postdoc will be directly supervised by the leader of this in vivo
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high-potential research within the excellence-driven environment of CMU. Offering benefits beyond 'traditional' postdoc roles, Fellows are provided with the resources, flexibility, and environment
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of the Postdoc. Designs and evaluates experiments. Develops new ideas that promote current research. Prepares and publishes scientific manuscripts under the direction of the Principal Investigator. May be
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. As this work exists at the interface of biology, chemistry, and engineering, applicants with training and education in any of these areas, or related fields, will be considered. Postdocs in the lab