Junior python állások Németországban (it programozás, fejlesztés)

• Develop computer vision models to analyze surgical videos, including action recognition, instrument usage, and relevant interactions
• Build and annotate a suitable dataset in close collaboration with other project staff; develop annotation and quality-assurance tools

- development and parameterization of machine learning interatomic potentials - implementation of new algorithms in scientific software packages - generation of training data using electronic structure calculations, atomistic simulations - presentation of scientific results at conferences and in...

• Hands-on experience building foundations for realtime simulation systems
• The chance to learn, implement and extend state-of-the-art simulation methods (XPBD, advanced constraint solvers, hybrid models)
• Mentorship from PhD-level researchers

• Bring-up of new hardware in close cooperation with our electrical teams, providing robust interfaces for our high-level application teams
• Create drivers for new boards, components and sensors (e.g. optical & lightning)
• Evaluate new hardware based on EVK and development kits

• Design scalable and secure cloud solutions on Azure to support data collection and processing
• Understand business and application needs to identify key architectural drivers
• Develop comprehensive solutions considering organizational constraints

• Exciting projects in the space industry
• Application- and hardware-related development
• Implementation of test procedures/automated scenarios including system integration
• Carrying out different test procedures
• Cooperation in system integration

• Research on learned components for streaming data systems, such as
• learned cost, latency, and throughput models for continuous and multimodal queries,
• learning-based scheduling, parallelism, and resource allocation for streaming operators, and

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

• 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

Build Europe's sovereign cloud infrastructure through open source at SAP, with a focus on network automation. You'll contribute to the ApeiroRA Reference Architecture within the EU's IPCEI-CIS initiative, developing Kubernetes operators and controllers that automate network provisioning and...

• Become familiar with our previously developed neural network superstructure for learning iterative algorithms
• Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference
• Investigate scaling and performance bottlenecks

to generate and harmonize user-friendly, standardized data analysis pipelines for a variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, ChIP-seq / Cut&Run analysis, CRISPR screen analysis, and DNA barcoding analysis,...

• Conceptual and operational support in building and maintaining the MB.OS Portfolio Backlog
• Data evaluation and quality analysis of planning elements in Jira, including creating and using dashboards
• Support in organizing and conducting MB.OS Portfolio planning conferences
• Preparation of presentations

• It must provide a clear and structured executive-level overview of company performance.
• It must allow drill-down capabilities from aggregated KPIs down to underlying processes, enabling root-cause analysis and performance steering.
• Integration into our team - not just "the student".

• Develop and maintain ETL/ELT pipelines for both structured and unstructured data
• Ensure the integrity, availability, and performance of data across ingestion and storage layers
• Collaborate with analysts and architects to translate business requirements into scalable data models

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....

• Prepare large-scale automated driving datasets for training and evaluation purposes.
• Contribute to the development and maintenance of the coding framework for data processing, model training, and validation of end-to-end driving systems.

You design and build high-performance search and query pipelines over PB-scale MDF4 and MCAP data lakes, enabling ML engineers to find relevant driving scenarios, sensor conditions, and edge cases across billions of records in seconds....

• Propose innovative methods to abstract EVCC functionality, transforming it from a hardware-dependent system to a flexible software component.
• Collaborate closely with our internal and external engineering partners to implement and integrate the software component into a rapid prototyping environment.

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions