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C644914747-0000023 funded by funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds Application submission from 20-Feb to 06-Mar-2026 WHO WE
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. For additional information about the Liao research group, please visit: https://sites.google.com/view/chentingliao/ Department Contact for Questions: Questions regarding the position or application process can be
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controlled trials (RCTs) in developing countries. Candidates should have strong quantitative skills, including proficiency in statistical software (e.g. Stata, R, or Python). Experience coordinating field
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 1 month ago
the University of North Carolina System since 1969. Department I3S (Interdisciplinary Identity Sciences) External Link to Posting https://jobs.uncw.edu/postings/38787 Vacancy Number TSP5626PST Working Title
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in complementary methods such as ICP-MS, XRD, XPS, SEM, TEM, EDX Scripting in Matlab, Python or equivalent languages for data analysis Strong publication record in peer-reviewed journals What you will
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works together to provide cohesive digital experiences and seamless support to the U-M community. For more information about ITS, visit: https://its.umich.edu/about Job Summary Information and Technology
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in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C
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or Doctoral Degree in Epidemiology or related field. Experience with coding in R (or python), including the use of generative AI tools and best practices for data reproducibility (e.g., tidyverse
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, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML frameworks (PyTorch, TensorFlow). Experience with dataset curation, annotation
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in research software development using R or Python and a track record of contributing to publications and presentations in leading statistics or machine learning journals and conferences are essential