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/Administrative Internal Number: 7088644 Research Assistant Brown University To view the full job posting and apply for this position, go to: https://brown.wd5.myworkdayjobs.com/en-US/staff-careers-brown/job
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of tools for the analysis and computational modeling of multimodal neuroimaging data, comprising resting-state EEWG and fMRI data
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). The position is embedded in a translational environment supporting integration of MEG with structural MRI, diffusion imaging (DTI), fMRI, PET, and complementary clinical/research measures, with access to high
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track record in fMRI data analysis and multimodal neural representations of actions will be considered a preferential qualification. Where to apply Website https://www.imtlucca.it/en/jobopportunity/public
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collaborations. The successful candidate will contribute to these efforts, and will design and execute fMRI experiments, apply voxelwise encoding models, and develop novel computational methods to analyze the rich
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with strong programming abilities and an interest in the lab's research. For more information about the lab and its research interests, please see the website at https://ncclab.princeton.edu. This is a
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for experiments is a plus. Experience working with middle- to older-age adults from the community is a plus. Previous experience and interest in brain imaging data (e.g. fMRI, morphometry) and/or cognitive testing
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information about the lab is available at at https://www.mulamplab.org/ . Key Responsibilities Run fMRI study visits across four days per participant, including one mock-scanner visit and three consecutive 2
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and sex hormone levels on brain function and cognition. To learn more about the lab please visit our website: http://www.rajahlab.com Qualifications The successful candidate must have: 1) graduated with
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datasets [e.g. behaviour, simultaneous EEG-fMRI and eye-tracking data]. Main research themes include, but not limited to: reinforcement learning and valuation, risk and uncertainty, confidence and