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?” Qualifications The execution of this Work Package is ideally suited for an enterprising researcher with: Academic background: A PhD in political science, public administration, sociology, social data
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Applicable: Daniel Yamins Stanford Departments and Centers: Psychiatry Group or Departmental Website: https://stai.stanford.edu (link is external) https://neuroailab.stanford.edu/ (link is external) https
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early intervention. We are looking for passionate, curious, and collaborative rising leaders with training in molecular epidemiology, data science and informatics, cancer biology, or environmental
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Pontificia Universidad Católica de Chile | about 2 months ago
, COSMOS, BASS, SDSS-V, Rubin/LSST project, LSST Dark Energy Science Collaboration (DESC), Dipole Oriented SN Cosmology (DOSC), Vista Variables Via Lactea (VVV), HSTPROMO, the Next Generation Fornax/Virgo
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 2 months ago
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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replacement. The incumbent leads day-to-day conduct of two ongoing trials on pain pathways, collects and analyzes neurophysiologic and biomechanical data, maintains regulatory compliance, and contributes
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muscle transcriptome. For more information see: https://medicine.iu.edu/faculty-labs/witczak Successful candidates will have recently completed PhD training, possess a strong background in type 2
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muscle transcriptome. For more information see: https://medicine.iu.edu/faculty-labs/witczak Successful candidates will have recently completed PhD training, possess a strong background in type 2
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renewal Appointment Start Date: Flexible, with preference for Summer or Fall 2026 Group or Departmental Website: https://mellab.stanford.edu/ (link is external) https://spoglab.stanford.edu/ (link is
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Project INF of the CRC1451: Data Management for Computational Modeling . Within this project, they will develop data-driven, cross-species and cross-scales computational models of motor control based