Analysis data analysis állások Németországban (programozó, fejlesztő)

• Learn how a modern data platform works by helping build and develop the Databricks environment for Procurement
• Learn how to create impactful dashboards by redesigning and improving Power BI reports used in real business decisions

You will design and deliver end-to-end ADAS AI models such as object detection, behavior prediction, and trajectory planning – from data analysis and model design to SOP-ready release....

• You develop and industrialise end-to-end machine learning algorithms for ADAS functions.
• Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches.

As part of our team, you will drive the end‑to‑end lifecycle of AI feature requirements, including elicitation, analysis, prioritization, specification, validation, and ongoing management....

Implement and maintain the core software platform for self-driving lab systems, including the service layer, internal APIs, and data flow between subsystems...

As a (Junior) Software Engineer you will typically work in project teams of 5-10 people and gain experience in different roles throughout the life cycle of a software development project....

You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving....

• You select and adapt base models for voice assistant and intelligence tasks.
• Furthermore, you produce clean, reproducible training, finetuning and evaluation pipelines to refine models for the problem at hand.

You own the full lifecycle of machine learning models – from initial concept and experimentation through training and validation to reliable deployment on production-grade automotive systems....

• FPGA implementation of signal processing and control algorithms for RF applications
• Configuration optimisation for AMD RFSoC-based high‑precision hardware platforms
• Analysis, design, verification, documentation and maintenance of Low Level RF and Multi Bunch Feedback systems

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

• Contribution to the development and implementation of machine learning and artificial intelligence methods in clinical diagnostics and biomedical research
• Application of classical statistical methods for the processing and analysis of raw data from various omics datasets

Work in our Data & AI Center of Excellence (DACE) in close collaboration with a diverse team of 45 data scientists and AI engineers from various disciplines...

• 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 and implement modern front-end interfaces for energy performance dashboards and AI-driven applications
• Develop interactive visualizations and compelling data storytelling components for business stakeholders

As a PreMaster in embedded sensor computing technologies, you conduct comprehensive analyses of RISC‑V processor cores and compare them against established commercial and proprietary CPU architectures...

• An agile work environment with the possibility to work on various tasks for frontier research on medical applications
• A dynamic, motivated, diverse team with a large and active student community
• A modern office culture mixed with flexible working hours

- Develop new features for an established software product, following an agile approach, technical analysis, planning, phased implementation, and testing - Provide architectural guidance, focusing on high-level design, components, and non-functional requirements (e.g., scalability, security) to...

• A two-stage qualification program
• Duration of the company phase: up to twelve months
• Personal mentoring