20 python "Computer Vision Center" "Computer Vision Center" Fellowship positions at Indiana University
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complex model ensemble interfaces, and coordinate computational infrastructure with national consortium collaborators. 60% Digital Twin Workflows & Data Assimilation: Develop Python workflows for short
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. or equivalent terminal degree in quantitative, computational, or biomedical discipline. Programming proficiency in Python, Julia, R, or MATLAB; background in mechanistic modeling (ODE/dynamical systems, QSP
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history in coding in R, Matlab, and/or Python, and statistical skills in any of (but not limited to) the following areas, including high-dimensional data analysis, time series, functional data, Bayesian
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, or quantitative biomedical research Strong programming and data-analysis skills in MATLAB and/or Python Demonstrated ability to independently design experiments, troubleshoot complex technical problems, analyze
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, or quantitative biomedical research Strong programming and data-analysis skills in MATLAB and/or Python Demonstrated ability to independently design experiments, troubleshoot complex technical problems, analyze
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skills · Ability to work effectively as a team · Excellent written and oral communication · Dependability, initiative, and professionalism Preferred skills: · Python · Experience with population genetics
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processing, or simulation (Python, MATLAB) Experience mentoring junior researchers Salary and Rank Special Instructions Applications received by October 1, 2026 will receive full consideration. However, we
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Python · Experience with high performance computing · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work effectively as a team · Excellent
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with healthcare data (e.g., EHR, clinical text, imaging, omics). Proficiency in Python and ML tooling (e.g., PyTorch, scikit-learn), version control (Git), and experiment tracking (e.g., Weights & Biases
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learning Biobank and electronic health record (EHR) analyses Drug repurposing or translational genomics R, Python, Linux or cloud computing platforms Department Contact for Questions Applicants should submit