Chez Sword Technologies, nous accompagnons nos clients dans leurs projets de transformation digitale, en intervenant sur des missions à forte valeur ajoutée dans des environnements exigeants. Nous accordons une attention particulière à la qualité des missions
We are looking for a Product Manager - Technical (PMT) to join the Chorus team within EU INTech/LSXE. Chorus accelerates AI internationalization by enabling LLMs and experimentation frameworks to support diverse linguistic and regional needs across
The Luxembourg Institute of Health (LIH) is seeking a highly motivated Data Scientist in AI with strong expertise in one or several of the following data types: multi-omics (e.g., DNA-seq, RNA-seq, proteomics), single-cell technologies, and foundation models
We are currently looking for a AI/ML Engineer to strengthen the Cronos Europa team. The project operates within a European financial institution, necessitating adherence to strict regulatory and compliance standards. The role is part of a collaborative
Helical is building the in-silico labs for biology Drug discovery still relies on wet labs: slow, expensive, and constrained by physical trial-and-error. Helical is changing that. We build the application layer that makes Bio Foundation Models
Dans un contexte de transformation digitale accélérée, le client souhaite structurer, fiabiliser et moderniser son environnement data afin de répondre à lévolution rapide de ses usages et de soutenir des initiatives à forte valeur ajoutée. Trois
Dans un contexte de transformation digitale accélérée, le client souhaite structurer, fiabiliser et moderniser son environnement data afin de répondre à lévolution rapide de ses usages et de soutenir des initiatives à forte valeur ajoutée. Trois
What makes us strong? Our employees in 50 countries worldwide - all working with passion to enable high-tech applications with our strong metals: tungsten and molybdenum. Our Plansee offices around the world connect customers with high
Helical is the AI-native lab for biology. We turn biological foundation models into production systems for discovery—so scientists can run experiments in silico at the speed of inference. We’re already deployed with top pharma, supporting work from