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. The candidate should have a strong background in process modeling, control, optimization, applied machine learning, and AI. City: Cranbury State: NJ Location: Off Campus Create a Job Match for Similar Jobs About
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perform experiments to examine how the orexin system mediates affective and motivational states arising with opioid withdrawal in an animal model of opioid addiction. The studies will explore how the orexin
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well as strong quantitative and programming skills. Experience with virtual reality development, machine learning, or advanced data analyses and modeling are highly desirable. Position Status Full Time Posting
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have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding of neuroimaging data to predict subjective
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Associate will contribute to ongoing projects and have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding
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. An individual is needed who can conduct research on questions related to how organisms respond to hypoxic stress and nervous system function using the model organism C. elegans. The individual will report
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Qualifications Minimum Education and Experience A doctoral degree in Industrial Engineering or a related field is required. Strong and demonstrated experience in data science and machine learning for large-scale
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engineering tools, including process modeling, process control, machine learning, and artificial intelligence, to support ongoing proposal efforts in advanced pharmaceutical manufacturing. The successful
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T-cell Acute Lymphoblastic Leukemia (T-ALL) using mouse models, under the supervision of the Principal Investigator. In addition to these objectives, the Postdoctoral Associate also performs research
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T-cell Acute Lymphoblastic Leukemia (T-ALL) using mouse models, under the supervision of the Principal Investigator. In addition to these objectives, the Postdoctoral Associate also performs research