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Field
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(UTC) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Research Framework Programme? Not funded by a EU programme Reference Number PID2024-158716OB-I00 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are offering 12
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
/Administrative Internal Number: 25565 POSTDOCTORAL ASSOCIATE, McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, to develop computational circuit models, analytical theory, and
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Offer Starting Date 21 Apr 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number 101229856 Is the Job related to staff position within a Research
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the supervision of Dr. Merry Mani. The successful candidate will work on the development, validation, and translation of cutting-edge MRI techniques for imaging slow-flowing neurofluids and brain microstructure in
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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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of Neurology (https://movementdisorderslab.umn.edu/ ). The postdoctoral researcher will be involved in the execution of experiments examining the effects of globus pallidus deep brain stimulation on motor and
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, Alzheimer's disease and ALS. The lab uses computational approaches to analyze genomic, transcriptomic, and clinical data from blood and brain tissue samples to identify disease biomarkers and cell-type-specific
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University of California Riverside School of Medicine | Riverside, California | United States | 7 days ago
Riverside. The Obenaus laboratory undertakes a range of studies on how brain injury temporally evolves in both adolescents and adults. For these positions, we are interested in how the cerebrovascular network
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resonance imaging data among other imaging modalities, machine learning methods for prediction, treatment effect estimation, and contribute to understanding brain biomarkers of Alzheimer’s disease and their