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, biomedical engineering, computer science, psychiatry, neurology, or a related field Required Qualifications: Strong experience in (i)EEG and/or fMRI data analysis. Strong record of peer-reviewed scientific
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
research activity. Applicants must be eligible for UK home fees. Applicants must be available to start 11th January 2027. Before applying: Applicants should visit www.royalholloway.ac.uk/studying-here
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 8 hours ago
work (wet lab), and hold (or will hold by September 2027) a master’s degree in computer science, computational biology, bioengineering, engineering, physics, statistics, mathematics, medicine, biology
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completed postdoctoral training. To be considered, those interested must apply through the University of Chicago’s Academic Recruitment job board, which uses Interfolio to accept applications: https
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31 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Engineering Physics Technology Researcher Profile First Stage
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of Interest Number of References: 3 To start the Online Application process for this position, click the "Apply for This Position" button located below the Contact Information. Contact Information
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Apply now Job no:536941 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Business Administration/Management, Environmental Studies, Instruction, Public Policy and Planning, Planning
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Find Jobs report which will take you to our internal career listings. Applying outside of your employee Workday account may cause delays in a hire process. Department: School of International Service
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of research proposals, progress reports, and manuscripts, and require communication with multiple co-investigators and collaborators. Knowledge of the NIH grant submission process is preferred. Biostatistical
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to increase resource use efficiency. However, managing and optimizing these new cultivation systems requires crop models that can predict plant growth, crop yield and resource use under highly dynamic