92 machine-learning-modeling-"UCL"-"UCL" Postdoctoral positions at Rutgers University
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and intrahippocampal kainic acid (IHKA) mouse models with retrospective human iEEG and therapeutic outcome data. Responsibilities include small-animal surgery, multichannel electrophysiology
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Learning: Apply shape-correspondence and machine-learning approaches, including spectral/graph-based surface alignment and autoencoder-based shape extraction, to compare limb and joint morphology across
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Associate will perform research using advanced behavioral, chemogenetic and neuroscience approaches in rodent memory, stress and reward self-administration models. Research will use orexin-cre rats and local
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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Sahoo and perform molecular/cellular studies of neuronal development using in vivo (mouse models) and in vitro (cultured primary neurons) models, involving skilled surgical procedures on mice and rats
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well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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hematological neoplasms and aberrant cell signaling. Utilizing multi-omics, mouse models (GEMMs/PDXs), and human biospecimens, the incumbent will conduct independent research to uncover novel therapeutic targets
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. The postdoctoral associate will receive mentored training in environmental epidemiology, cancer survivorship, exposure assessment, survival analysis, mixture modeling, biomarker analysis, and health disparities
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aligned with the aims of the Addiction & Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world settings, as well as machine