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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
Posting Information Posting Information Department Psychiatry - Research - 412250 Posting Open Date 01/21/2026 Application Deadline Open Until Filled Yes Position Type Permanent Faculty Working
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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
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. Position description The Environmental Markets Lab (emLab – https://emlab.ucsb.edu ) and Clean Energy Transformation Lab (CETlab – https://cetlab.es.ucsb.edu/ ) at the University of California Santa Barbara
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Research Centre. Mōu | Who You Are To be successful in this position, ideally you will have: A PhD in Computer Science or a closely related field Expert knowledge of deep learning, large language models
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Biology Stanford Cancer Center Postdoc Appointment Term: Open-ended. Appointment Start Date: ASAP Group or Departmental Website: https://rogala.stanford.edu/ (link is external) How to Submit Application
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ago. We continue to show our commitment to serving our wonderfully diverse population and building the future for Las Vegas and Nevada. For more information, visit us on line at: http://www.unlv.edu EEO
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
the development and implementation of machine learning models Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https
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scattering for structure and dynamics of these systems. For more information, see https://www.soft-matter.uni-tuebingen.de . Currently we are looking for a post-doctoral researcher to perform state-of-art X
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deep expertise in computational approaches to social science, including but not limited to the collection and analysis of large amounts of data. The applicant will be intimately familiar with
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of the appointment. Demonstrated experience with deep learning methods or sophisticated mathematical frameworks applied to large-scale or scientific datasets. Experience working with observational seismology data (e.g