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Field
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relation to neural plasticity, learning, and memory by integrating neuroimaging, gut microbial profiling, and cognitive-behavioural assessments. Our work focuses on individuals with and without conditions
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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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, 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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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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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
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targeted ultrasound delivery, advanced neuroimaging, and closed-loop control. The primary objective of this postdoctoral/PhD project is to advance the chemical formulation and engineering of ultrasound
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analysing behavioural tasks and neuroimaging/neurostimulation experiments for investigating the neural mechanisms underlying habitual behaviours and learning adaptation to uncertainty. You will use fMRI and
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Postdoctoral Fellow with expertise in MRS/neuroimaging and brain-behavior research in schizophrenia, led by Dr. Laura Rowland. The Postdoctoral Fellow will work on MRS/neuroimaging and other research projects
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and integration of multimodal neuroimaging, behavioral and clinical data, and building large-scale deep learning models for multimodal neuroimaging datasets to construct predictive network models in