University of Arizona tech stack
University of Arizona builds mostly with Python, MATLAB, C++, JavaScript. Its stack also includes Linux, Windows, PostgreSQL, PyTorch. Python is named in 17 of the 60 job postings University of Arizona published in the last 12 months (28%). Counted by Alion from the job postings of University of Arizona, updated Oct 26, 2026.
What programming languages does University of Arizona use?
Python is named in 28% of job postings at University of Arizona, followed by MATLAB (15%), C++ (7%), JavaScript (7%).
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What frameworks and libraries does University of Arizona use?
PyTorch is named in 3% of job postings at University of Arizona, followed by JAX (2%), Scikit-learn (2%), TensorFlow (2%).
What databases does University of Arizona use?
PostgreSQL is named in 3% of job postings at University of Arizona, followed by Redis (2%).
What cloud and platforms does University of Arizona use?
Linux is named in 15% of job postings at University of Arizona, followed by Windows (12%), Active Directory (7%), GCP (7%).
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What developer tools does University of Arizona use?
Microsoft Excel is named in 10% of job postings at University of Arizona, followed by Docker (5%), Adobe Photoshop (3%), Docker Compose (3%).
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What AI and ML technologies does University of Arizona use?
LLM is named in 2% of job postings at University of Arizona.
Which engineering practices does University of Arizona ask for?
Machine Learning is named in 10% of job postings at University of Arizona, followed by Cell Culture (7%), Western Blot (5%), qPCR (5%).
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What does each University of Arizona team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Science & Research
19 postingsAdministrative
9 postingsBackend
3 postingsHow does your stack fit University of Arizona?
How is the University of Arizona stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the University of Arizona stack?
University of Arizona scores 69 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How common is the University of Arizona stack in its industry?
Share of the 1,205 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like University of Arizona
Questions about the University of Arizona tech stack
What programming languages does University of Arizona use?
The languages named in University of Arizona job postings are Python (28%), MATLAB (15%), C++ (7%), JavaScript (7%), SAS (3%), as a share of the 60 postings of the last 12 months.
Does University of Arizona use PyTorch?
Yes. PyTorch is named in 2 of 60 job postings (3%) and required in 2 of them.
What cloud and platforms does University of Arizona use?
The cloud and platforms named in University of Arizona job postings are Linux (9), Windows (7), Active Directory (4) (postings in brackets).
What skills do you need for a Science & Research job at University of Arizona?
Science & Research postings at University of Arizona most often require Python (7), C++ (3), MATLAB (3), SAS (2), out of 19 postings in the last 12 months.
Is the University of Arizona tech stack changing?
Yes. CI/CD, Docker Compose, PostgreSQL, Proxmox VE first appeared in University of Arizona job postings in the last six months.
How modern is the University of Arizona tech stack?
University of Arizona scores 69 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How does Alion know the University of Arizona tech stack?
Alion reads every job posting University of Arizona publishes and tags the technologies each one names. The figures on this page count the 60 postings of the last 12 months and were updated on Oct 26, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "University of Arizona tech stack: 75 technologies from 60 job postings", as of Oct 26, 2026. https://alion.io/company/optomechanical-engineering-professor-jim-h-burge/technologies
