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The University of Texas Southwestern Medical Center (UT Southwestern Medical Center) | Dallas, Texas | United States | 2 months ago
refer to the Postdoc Handbook or visit http://www.utsouthwestern.edu/postdocs . UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all
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improve patient care and outcomes in radiation oncology. Dr. Ren will join Northwestern University in July. Additional information about his current research program can be found at: https
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, Physics, Medical Physics, Mathematics, Engineering or related field is required. Experience in radiation treatment planning, advanced data analysis and proton radiation therapy is desirable. Knowledge
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modalities in the rodent brain (3D light-sheet microscopy, spatial transcriptomics and MRI of the same brain) to learn MRI contrasts that can depict neuronal and glial cell density and morphology. You will
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modalities in the rodent brain (3D light-sheet microscopy, spatial transcriptomics and MRI of the same brain) to learn MRI contrasts that can depict neuronal and glial cell density and morphology. You will
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PREFERENCE Consortium: - https://preference-consortium.eu/ This will be offered as a full time contract until 31st Jan 2030. About You To be successful in this role, we are looking for candidates to have the
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of Michigan Medical School (Department of Radiation Oncology) to join a highly collaborative team (Morgan Lab | University of Michigan Medical School ) studying how brain tumor cells and their surrounding
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10 Jul 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Medical sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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join a community of scientists and researchers in an effort to research modeling approaches related to neural stimulation and inhibition by laser exposure. Research will primarily focus on
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Framework for Medical Device Surveillance https://reporter.nih.gov/project-details/11091149 · CardioOnco-AI: AI-Empowered Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site