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virtual reality development, machine learning, or advanced data analyses and modeling are highly desirable. Position Status Full Time Posting Number 25FA0682 Posting Open Date Posting Close Date
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/ ). The successful candidate will develop web pages and front-ends to showcase new drug discovery tools and databases used to train innovative machine learning models. This is an outstanding opportunity
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will learn the appropriate scientific methods and procedures. Rutgers Cancer Institute leverages numerous experimental approaches. Including single-cell genomics by next-generation sequencing, in situ
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-making. Among the key duties of this position are the following: Develop and refine computational models (e.g., mechanistic, machine learning, or hybrid approaches) for ICU patients. Integrate and analyze
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learn, work, and serve the public at Rutgers locations across New Jersey and around the world. Posting Summary Rutgers, The State University of New Jersey has opening for two (2) Postdoctoral Associates
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differentiation and the immune response, with mechanistic explorations to unveil new therapeutic strategies. Works with primary T cells in vitro and mouse models in vivo, effectively. Demonstrates expertise in flow
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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’ lives. By advancing proof-of-concept studies from cellular and animal models through human trials,RITMSensures that promising discoveries are rapidly translated into clinical applications that improve
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-making. Among the key duties of this position are the following: Develop and refine computational models (e.g., mechanistic, machine learning, or hybrid approaches) for ICU patients. Integrate and analyze
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at Rutgers University is seeking a highly motivated Post Doctoral Associate to work on translational projects at the intersection of biomechanics, machine learning, exergaming, and mobile health technologies