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• Use formal verification algorithms to formally prove the correctness of complicated logic problems
• Identify key behaviors for verification to write clear testplans for complex designs
• Implement testplans using innovative formal techniques
• Drive tools to realize their best performance

• Sérülékenységek keresése Windowsban és asztali alkalmazásokban
• Folyamat dokumentálása a kutatás során
• Patch diffing készítése BinDiffel

• Build accessible, performant, and well-tested frontend and mobile features following clean code principles.
• Develop, test, and review code — and have a real voice in software design and architecture decisions.

• Security reviews of projects as part of the internal security assessment process
• Advisory support to project teams from a security and compliance perspective
• Assessment of Kubernetes architectures and designs against internal security requirements

• Intuitív felhasználói élmények tervezése komplex webes és mobilalkalmazásokhoz
• Modern felhasználói felületek tervezése komplex webes és mobilalkalmazásokhoz
• Szoros együttműködés Product Managerekkel és fejlesztőcsapatokkal
• Felhasználói kutatások végzése

• Development of CMS-based websites and components
• Collaboration with a responsive leadership team and experienced colleagues
• Continuous professional growth opportunities

Explore and apply AI in real projects: Get hands-on with modern AI tools (e.g. Copilot, automation workflows, knowledge agents) and help us bring new digital solutions into everyday work...

PhD Candidate in Clinical AI, Data Privacy and Large Language Models In the School of Engineering and Computer Science we don't move with the times, mostly we are a bit ahead of them! We find it fascinating what benefits technology can have in people's everyday lives. We gain knowledge through...

• Komplex rendszer fejlesztése
• Webes alkalmazások lekérdezéséhez tartozó fejlesztői feladatok

• Deliver a world class Analytics & Data Governance tooling platform, fully compliant and user-centric.
• Help build the strategy for the evolution of N26's Core Data Products, its interactions with the rest of the organisation, its global rollout and the decision to build vs buy.

• Defining the vision and strategy for the future-state digital supply chain ecosystem
• Curating the technology stack through selection and integration of modern tools at the crossroads of artificial intelligence and automated workflows

• Work with an agile mindset and according to agile methodology
• Collaboration within the team, with other teams in the Domain and Deutsche Telekom, and with software engineers using the cloud platform
• Approach work with a DevOps and continuous improvement mindset

• Design enterprise Data & AI strategies that use Data & Generative AI to drive real business growth
• Translate complex business needs into clear AI solutions that deliver value
• Act as a trusted advisor to C-level leaders on AI adoption, regulations, and ROI

• Creation of cutting-edge solutions combining quantum chemistry and machine learning algorithm development to model small-molecule energetics and protein–ligand interactions
• Building synthetic datasets using quantum mechanics and related methods to shape novel research directions in machine learning

As a PhD candidate with us, you will conduct intensive research on future satellite-to-vehicle communication solutions based on innovative 6G networks....

• Development and delivery of operational strategies aligning with global safety goals
• Cultivation of an agile team environment fostering self-organisation, innovation, experimentation, and autonomous decision-making
• Development, negotiation, and implementation of fit-for-purpose safety agreements

• Design, develop, and maintain HL7 interfaces (v2.x, v3, CDA, FHIR) between healthcare systems
• Build and support integrations with EHR/EMR systems (e.g., Epic, Cerner, Allscripts)
• Configure and manage integration engines (e.g., Mirth Connect, Rhapsody, Cloverleaf)

• Developing scalable library software using modern tools and languages for various numerical method
• Performance tuning, optimization, and benchmarking of algorithms on various architectures

• Guiding customers in adoption of NVIDIA's compute, networking, and software stacks to deliver end-to-end GenAI and Agentic AI solutions
• Sharing knowledge through demos, proof-of-concepts, papers, and developer blogs

• Prototyping, validating, and scaling advanced AI capabilities with focus on multi-agent development and orchestration architectures
• Leading data engineering activities to design, optimize, and streamline data workflows