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have experience working with human subjects. Experience in multimodal data integration and statistical analysis is required. Experience with neuroimaging and/or other large-scale biomedical or behavioral
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disorders, drawing meaningful conclusions from the data. Collaborator in Biomarker Discovery, Research and Development: Engage in biomarker discovery projects using electrophysiological and neuroimaging and
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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, cerebrospinal fluid, and neuroimaging) with genetic and clinical features of Alzheimerâ™s disease. The candidate will benefit from integration with the world-renowned Knight-ADRC (expertise on genetics
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(not required for applying) - Experience with computational modeling - Expertise in neuroimaging Appointment Details - Anticipated Start Date: Flexible, no later than Fall 2026. - Salary: $63,480
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data (derived from plasma, cerebrospinal fluid, and neuroimaging) with genetic and clinical features of Alzheimer’s disease. The candidate will benefit from integration with the world-renowned Knight
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controlled trial. The fellow will work within a multidisciplinary team integrating cognitive neuroscience, neuropsychology, genetics, neuroimaging, exercise science, public health, sleep research, and
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-invasive targeted drug delivery to the brain. Our laboratory recently developed a novel focused ultrasound-mediated targeted drug delivery platform, published in Nature Communications (https://www.nature.com
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of follow-up. The study includes rich phenotypic data, as well as neuroimaging and blood biomarkers (including genetic data) on up to 440 individuals, with varying lengths of follow up (PI Mitchell). The data