Python developer állások Németországban (it programozás, fejlesztés)

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

• Apply Adobe Brand Visibility recommendations to improve brand consistency, visibility, and content quality.
• Translate insights into concrete changes to content, metadata, and digital experiences.
• Build tools and automations that streamline ingestion, onboarding, and application of ABV outputs.

In this PhD project, you will investigate neural 3D scene representations, including neural radiance fields, Gaussian splatting, and implicit occupancy models, and adapt them to the unique challenges of in-cabin perception. Unlike exterior environments, where a moving sensor observes a largely...

sound coding skills, particularly in Python, with proven experience in the development, implementation and further development of AI-based solutions and the responsible assumption of technical and specialist development tasks...

• You will build customized automation solutions for ZEISS customers that need support for special electron microscopy applications
• Typically, these solutions encompass a completely automated electron microscopy workflow from image acquisition to the image analysis

• Design, develop and maintain software for automated measurement, equipment control and data acquisition
• Build scalable desktop applications and software architectures for engineering and manufacturing

Analyse global kilometre-scale climate simulations produced within Destination Earth to investigate their added scientific value compared with existing climate modelling approaches...

• You understand RABOT's departments, their core processes and our AI tooling (Claude, Claude Code, our data stack) well enough to run a process-discovery session on your own.
• You've shipped your first automation into production — something a team feels immediately.