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Field
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in internal meetings and at national/international conferences. ● Collaborate with an interdisciplinary team (bio)statisticians, data scientists, computer scientists, and climate scientists
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with PyTorch, required to have experience developing code with a team through collaborative version control Experience working with large datasets and cloud computing environments. Solid background in
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and funding availability. VISION Position Purdue as a national leader in AI-driven software and systems research spanning edge computing, cloud and distributed systems, high-performance computing (HPC
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) data analysis, workflow automation, and cloud computing. This role will support research and production environments where reproducibility, scalability, and performance are critical. The successful
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of high-quality scientific publications, experience working with real-world health data is a plus Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms
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, and familiarity with computing in the cloud/on HPC Strong data visualization and communication skills for technical and non-technical audiences Experience with interdisciplinary or collaborative
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, and familiarity with computing in the cloud/on HPC Strong data visualization and communication skills for technical and non-technical audiences Experience with interdisciplinary or collaborative
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analytics projects as needed (e.g., ticketing, fan engagement, and scheduling). Build and maintain data pipelines and models using R, Python, SQL, and cloud computing resources, following best practices
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. For applicants to the Microbial Bioinformatics track: PhD or equivalent in Computational Biology, Microbiology, or a related field. At least one published contribution in computational biology, microbiology, or a
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Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data