6 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Fellowship positions at University of Texas at Austin in United States
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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
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such artificial empathy, and how this relates to AI sycophancy and mental health. For more information about the research conducted in the lab, please visit the lab website at https://cascoglab.psy.utexas.edu
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interdisciplinary (https://juanguanlab.wixsite.com/biophysics/ ). The team combines cell biology, quantitative imaging, and biomaterials to probe the underlying mechanisms in biophysical systems and explore new bio
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Fellows in the laboratory of Dr. Amy Lee, PhD in the Department of Neuroscience (https://neuroscience.utexas.edu ) at The University of Texas at Austin. Lee Lab: https://www.cachannel.net Postdoctoral
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Expenditure Panel Survey [MEPS], with a particular focus on sickle cell disease, opioid utilization, and cancer disparities). For more information, visit https://pharmacy.utexas.edu/directory/hyeun-ah-kang
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skills in statistical analysis, i.e.. R Studio, SAS along with experience in coding, i.e. MATLAP, Python, etc. Salary Range $61,008+ depending on NIH level Working Conditions Standard office environment