SLAM-B
As of 30 October 2026, SLAM-B has 0 open roles (0 new in 30 days), its software engineering team is hiring most, and its postings name Python, Java and NumPy as the tools the team works in.
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- Veselyy Kut, , France
- Employees
- 51-200 employees (estimated)
- Sells to
- policy makers and researchers, bioeconomy stakeholders
- Certifications on site
- Site languages
- FR
- Career system
SLAM-B in one screen
Read from slamb.fr: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
SLAM-B is a research project that develops bioeconomy scenarios and integrated assessment modelling to evaluate territorial pathways toward carbon neutrality. It produces research articles, webinars, posters, and a summer school on modelling and lifecycle analysis. The project is part of the FairCarboN initiative and focuses on the nexus of food, non-food uses and natural resources.
Named on the site: policy makers and researchers, bioeconomy stakeholders.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 585 scored.
What SLAM-B says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
Il s’agit d’un modèle, développé en langage Python exploitant les librairies Scikit-learn, Rasterio, Pandas, Numpy et Scipy, qui vise à simuler l’évolution des paysages à long terme sur la base de scénarios prospectifs pour évaluer la duraCe logiciel pourra être développé sous Java, Python en tant qu’application autonome (sans installation - .exe ou .jar) ou en tant que Plugin pour QGIS selon les compétences du / de la candidat.e.Il s’agit d’un modèle, développé en langage Python exploitant les librairies Scikit-learn, Rasterio, Pandas, Numpy et Scipy, qui vise à simuler l’évolution des paysages à long terme sur la base de scénarios prospectifs pour évaluer la duraIl s’agit d’un modèle, développé en langage Python exploitant les librairies Scikit-learn, Rasterio, Pandas, Numpy et Scipy, qui vise à simuler l’évolution des paysages à long terme sur la base de scénarios prospectifs pour évaluer la duraCe logiciel pourra être développé sous Java, Python en tant qu’application autonome (sans installation - .exe ou .jar) ou en tant que Plugin pour QGIS selon les compétences du / de la candidat.e.Il s’agit d’un modèle, développé en langage Python exploitant les librairies Scikit-learn, Rasterio, Pandas, Numpy et Scipy, qui vise à simuler l’évolution des paysages à long terme sur la base de scénarios prospectifs pour évaluer la duraIl s’agit d’un modèle, développé en langage Python exploitant les librairies Scikit-learn, Rasterio, Pandas, Numpy et Scipy, qui vise à simuler l’évolution des paysages à long terme sur la base de scénarios prospectifs pour évaluer la dural s’agit d’un modèle, développé en langage Python exploitant les librairies Scikit-learn, Rasterio, Pandas, Numpy et Scipy, qui vise à simuler l’évolution des paysages à long terme sur la base de scénarios prospectifs pour évaluer la durabiicipera à l’amélioration de certains modules, notamment par exemple, dans l’intégration de données libres (raster, shapefile, .csv) pour générer automatiquement une partie des données indispensables au bon fonctionnement de FORESCEM, afin dVous avez une maitrise des approches d’optimisation, des outils des SIG et des langages de program-mation scientifiques (Python, R, etc.).- Parfaite maîtrise d’une IDE (par exemple VS Code, PyCharm, Intellij, Eclipse)- Parfaite maîtrise d’une IDE (par exemple VS Code, PyCharm, Intellij, Eclipse)- Parfaite maîtrise d’une IDE (par exemple VS Code, PyCharm, Intellij, Eclipse)- Parfaite maîtrise d’une IDE (par exemple VS Code, PyCharm, Intellij, Eclipse)Vendors whose code loads on slamb.fr or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
0 open roles, 0 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring software engineering in France →
| open · new 30 d | |
|---|---|
| Software engineering | 0 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add SLAM-B to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like SLAM-B
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 585 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
SLAM-B (Veselyy Kut, France, 51-200 employees) has 0 open roles, 0 new in 30 days, and names 14 tools in its postings. (Breaknorm, 30 October 2026, https://breaknorm.co/company/slamb.fr)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from slamb.fr: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
SLAM-B: questions
Does SLAM-B use Python?
Yes, by the company's own words: 3 postings name it, first seen 2026-10-26, in the team.
Is SLAM-B hiring?
0 open roles as of 30 October 2026, 0 opened in the last 30 days and 4 closed. The largest team hiring is software engineering.
Where does this profile come from?
From slamb.fr itself: we crawled it on 2026-08-21, built the profile on 2026-08-22, and read its career site () hourly since. Headcount is from LinkedIn.
Who should I write to at SLAM-B?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 0 public role addresses from the site are there too.
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The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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