Technical University of Denmark tech stack
Technical University of Denmark builds mostly with Python, MATLAB, Julia, Java. Its stack also includes Ray, LocalAI, PyTorch, GitHub. Python is named in 32 of the 61 job postings Technical University of Denmark published in the last 12 months (52%). Counted by Alion from the job postings of Technical University of Denmark, updated Sep 30, 2026.
What programming languages does Technical University of Denmark use?
Python is named in 52% of job postings at Technical University of Denmark, followed by MATLAB (20%), Julia (11%), Java (2%).
What frameworks and libraries does Technical University of Denmark use?
Ray is named in 7% of job postings at Technical University of Denmark, followed by PyTorch (5%).
What cloud and platforms does Technical University of Denmark use?
LocalAI is named in 5% of job postings at Technical University of Denmark, followed by GitHub (3%), .NET (2%), Linux (2%).
What developer tools does Technical University of Denmark use?
AutoCAD is named in 3% of job postings at Technical University of Denmark, followed by Git (3%), Copilot (2%).
What AI and ML technologies does Technical University of Denmark use?
Gemma is named in 3% of job postings at Technical University of Denmark, followed by LLM (2%).
Which engineering practices does Technical University of Denmark ask for?
Machine Learning is named in 54% of job postings at Technical University of Denmark, followed by Multimodal AI (8%), Digital Twin (7%), HPC (7%).
Multimodal AI
5 8%
HPC
4 7%
Computer Vision
2 3%
Explainable AI
1 2%
What does each Technical University of Denmark team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Early Careers
38 postingsScience & Research
5 postingsIndustrial Engineering
5 postingsHow does your stack fit Technical University of Denmark?
How modern is the Technical University of Denmark stack?
Technical University of Denmark scores 78 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.
Companies with a stack like Technical University of Denmark
NLR
18 shared technologies
Brookhaven National Laboratory
18 shared technologies
Argonne National Laboratory
20 shared technologies
Lawrence Livermore National Laboratory
23 shared technologies
Embl
18 shared technologies
Onto Innovation
19 shared technologies
ExxonMobil
23 shared technologies
Ohio State University
17 shared technologies
Questions about the Technical University of Denmark tech stack
What programming languages does Technical University of Denmark use?
The languages named in Technical University of Denmark job postings are Python (52%), MATLAB (20%), Julia (11%), Java (2%), C# (2%), as a share of the 61 postings of the last 12 months.
Does Technical University of Denmark use Ray?
Yes. Ray is named in 4 of 61 job postings (7%) and required in 4 of them.
What cloud and platforms does Technical University of Denmark use?
The cloud and platforms named in Technical University of Denmark job postings are LocalAI (3), GitHub (2), .NET (1) (postings in brackets).
What skills do you need for a Early Careers job at Technical University of Denmark?
Early Careers postings at Technical University of Denmark most often require Python (20), Julia (5), MATLAB (4), LocalAI (3), out of 38 postings in the last 12 months.
Is the Technical University of Denmark tech stack changing?
No new technology has appeared in Technical University of Denmark job postings in the last six months.
How modern is the Technical University of Denmark tech stack?
Technical University of Denmark scores 78 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.
How does Alion know the Technical University of Denmark tech stack?
Alion reads every job posting Technical University of Denmark publishes and tags the technologies each one names. The figures on this page count the 61 postings of the last 12 months and were updated on Sep 30, 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, "Technical University of Denmark tech stack: 25 technologies from 61 job postings", as of Sep 30, 2026. https://alion.io/company/dtudata/technologies