Python developer állás, munka

• Partner with internal teams and model researchers to evaluate high-value use cases and understand their business context.
• Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.

Independent research in accordance with good scientific practice: conception and implementation of scientific methods, experiment design, data collection and processing, and authoring publications in peer-reviewed journals...

• 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

Tailor the SAP-RPT model family to the unique complexities of real-world relational enterprise data, enabling models to navigate and reason over intricate schemas and logic...

• Design and implement end-to-end automated workflows using platforms like Power Automate, N8N or python to streamline document-heavy business processes.
• Manage dynamic content and variables to ensure data flows correctly between disparate systems like SharePoint, Excel, and APIs

• Familiarize yourself with state-of-the-art methods in reliability modeling
• Develop modeling approaches for load-driven degradation data
• Implement and compare different modeling approaches to identify the most efficient method, taking statistical variation and measurement uncertainty into account

• 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

Lead and manage a global team of data scientists, ML engineers, and AI researchers, setting technical direction, ensuring quality, and fostering a strong culture....

• Conduct independent research at the intersection of data science and public policy with a focus on ML/AI, causal inference, and/or computational methods;
• Collaborate with faculty and Data Science Lab members on joint research projects;

Achieve the strategic goals of the state Baden-Württemberg in training on HPC and Data Intensive Computing, (after a successful transitional phase) by leading the training work package of the bwHPC-S5 project....

You will design and write a master's thesis on predictive maintenance for the electric heating elements of a commercial dishwasher....

• 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

• Design, implement, and manage document embedding storage solutions
• Develop and optimize processes for efficient information extraction from documents, including handling complex nested structures, to create
• and populate databases for our advanced chatbot applications

YOUR ROLE With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally. WANT TO DRIVE THE NEXT GENERATION OF...

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

• Develop a generative artificial neural network (ANN) for probabilistic radar QPE using single- and dual-pol radar data.
• Extend the developed generative ANN to allow additional conditioning on rain gauge data to provide a merged radar-gauge product.

• Conducting a comprehensive literature review on the current state-of-the-art methods in E2E driving and advanced uncertainty estimation techniques
• Integrating and validating suitable uncertainty estimation methods within the E2E driving pipeline

• Familiarize with the state-of-the-art in pose estimation and tracking applications
• Development of the hardware experimental setup based on the use-case
• Implementation of prototype solutions relying on methods from both geometric and/ or deep learning methods in computer vision and robotics

• Lead the design, development, testing, and maintenance of the flaQship toolkit
• Integrate the flaQship toolkit via standardized APIs into the national quantum computing full stack and enable workflow-integration with established toolkits and framework (e.g. MQT or Eclipse Qrisp)

• Driving locally disciplinary and globally technically the Raw Data Processing development (incl. planning, concept & verification)
• Leading and developing a high-performing international team, fostering individual growth and technical excellence