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We invite applications for a Postdoctoral Appointee to contribute to a growing research program in process systems modeling and optimization for clean energy, critical materials, and advanced
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score and other comorbidity adjustment methods, latent variable analyses, advanced regression techniques including multilevel modeling and survival methods. The candidate will also interpret study results
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using SQL, and AI/machine learning models is critical. Faculty members are expected to be exceptional teachers and contribute to the School’s academic environment. Qualifications Successful candidates
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spectrometry-based metabolomics, isotope tracing, and lipidomics, to dissect metabolic rewiring in lung cancer. The research will integrate patient-derived models, organoids, and in vivo tumor models. Lab Focus
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learning environment, responding to student needs, managing effective instructional activities, modeling employability skills, demonstrating professionalism, developing cooperative work relationships with
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. This individual will conduct bench and translational cardiovascular research that will utilize in vitro and in vivo models of congenital heart defects. This individual will complete projects that require expertise
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to match needs of each healthcare scenario. Develop process-driven and sequence-driven features for classification and other types of AI models. Contribute to designing and implementing feature extraction
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modeling, physiological signal analysis, and innovative neuromodulation strategies for neurological disorders such as epilepsy, chronic pain, and autonomic dysfunctions. Primary Responsibilities 35
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duties for this position are the following: Conducts multidisciplinary research in the area of the role of mTOR kinase in growth control and anticancer mechanisms, including in vitro and in vivo models
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based on high dosage tutoring model Communicate with the Coordinator Arrive in a timely manner Perform other duties as assigned All tutoring will take place in the Prentice Gautt Academic Center. Job