Python programme állások, munkák Németországban

• Design and develop software for our test and simulation framework (TSF) in ADA and C++
• Development of Avionic Simulations for our desktop virtual rig environment (MaTE DTVR)
• Design and Development of automated developer tests (unit / module tests) as well as execution of code reviews

• Landing Gear Loads analysis
• Dynamic Ground Loads analysis
• Modal analysis
• Dynamic flight loads and aeroelasticity

• Integrate the HMI subsystem with other system components on various test environments and target devices
• Ensure correct configuration and seamless end-to-end operation

take responsibility as Tech Lead Search for the technical quality and architecture of our product retrieval and embedding capabilities based on OpenSearch....

• Design and development of complex PCB layouts for aerospace electronics
• Creation of multilayer PCB designs using Siemens PADS Professional and Xpedition
• Development of high-speed digital, RF, power electronics and mixed-signal circuit board layouts

• Develop an efficient and reproducible workflow for application-oriented machine learning solutions.
• Be involved in sample preparation and data acquisition in the laboratory for full data ownership

As a Working Student in AI Cybersecurity (m/f/d/x), you will support our team in researching and securing AI systems. The specific focus areas will continue to evolve along with the field....

As a Working Student in Sales Data Architecture & Agentic AI (m/f/d/x), you will support the team in analyzing and harmonizing global sales and master data across different markets and systems....

Our Software Development Engineer (SDE) interns use modern technology to solve complex problems while seeing their work's impact first-hand. You will own the entire lifecycle of your code - from design through deployment and ongoing operations. Key responsibilities include: collaborating with...

As a Process Improvement Specialist, you will be at the forefront of making Amazon better – which means improving safety, productivity, and quality. Part of your role will involve running observations and audits to identify where processes could be enhanced. You will also use AI-powered tools to...

• Build use cases and configure security tools and technologies (e.g. SIEM, xDR) to detect security events and potential incidents
• Participate in Security Operations & alert monitoring: conducting incident assessments, determine impact and root causes, provide reports and recommendations

• As a Working Student AI Research Engineer for SLM Optimization (m/f/d/x), you will support the team in developing, refining, and managing caching mechanisms for Small Language Models (SLMs).
• You will contribute to the training and further development of models for cache prediction.

• Independently plan, perform, document, and analyze experiments within your PhD project.
• Work with patient-derived FFPE tissue from primary melanomas, sentinel lymph nodes, and lymph node metastases.

• Conduct multi-omics data integration and advanced statistical analyses in ongoing and newly initiated projects on metabolic diseases
• Develop and apply machine learning models for biomarker discovery, patient stratification, and prediction of disease trajectories

You will take a key role in shaping and designing our edge platform for developing, testing, deploying, and operating real-time applications....

• Discussing and clarifying requirements with our internal domain experts
• Breaking requirements down into manageable work packages, estimating effort, and identifying technical dependencies
• Designing and developing algorithms that span and are optimized across various layers of our software stack

• development of physics-guided machine-learning models for composition-process-structure-property relationships in magnesium alloys
• combination of crystal plasticity, phase-field, precipitation, and machine-learning approaches into a unified digital twin framework

• Combine your studies with hands-on experience as an intern or working student to support applied research and prototyping in medical soft-body simulation for six months or longer
• Implement and validate soft-tissue deformation models using real patient data to build and validate simulation pipelines.

• Owning the technical architecture on cloud and platform programmes from design through to production, across AWS and Azure.
• Leading engineering teams on delivery, typically three to eight engineers, through mentoring, code review and technical decision making rather than line management.

• Development of mathematical models to describe cellular dynamics
• Implementation of the models in a suitable programming environment
• Simulation of cellular dynamics within complex 3D structures
• Application of the computer model as a virtual bridge between in vitro and in vivo studies