Phd hello css javascript jquery állások Németországban (it programozás, fejlesztés)

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• Design and develop internal tools for R&D users
• Build user-friendly interfaces (web and desktop) for searching, entering, reviewing, visualizing, and managing complex technical data

• Development of APIs for electrolysis systems and analysis devices
• Implementation of autonomous process control
• Conceptualization and implementation of degradation models for electrolysis
• Studying performance and degradation of electrolysis in dependence on different operating modes

• Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Gain new insights by bringing together rich semantic context with large scale business data.

As a PhD candidate with us, you will dive deep into the world of agentic AI systems and contribute significantly to the development of intelligent solutions for real-world challenges, combining cutting-edge research with direct industrial impact....

Provide scientific leadership for AI-powered computational pathology and multimodal biomarker development across AstraZeneca's Oncology and/or BioPharmaceuticals portfolio, delivering biomarkers that support patient selection and translational decision-making from target validation through clinical...

Reimagine AI-based engineering: You collaborate closely with domain experts from international corporate research departments and business units to develop novel agent-based approaches towards engineering, addressing Bosch's extensive product and service portfolio....

• Support the setup, execution, and maintenance of performance tests for Utimaco products.
• Help collect, analyze, and report performance test results, including response times, throughput, resource usage, and system behavior under load.

• Take end-to-end ownership of large, business-critical initiatives, ensuring strategic impact and sustainable outcomes.
• Act as a recognized expert, setting technical and architectural standards across complex domains.

As an AI Research Engineer at Bosch, you will explore a variety of real-world use cases that can significantly benefit from cutting-edge Large Language Models (LLMs), end-to-end trained ADAS systems, and AI agents....

• Support our Web Component Development team in building, testing, and maintaining reusable frontend components for digital products and platforms
• Contribute to the implementation of modern, scalable, and user-centered frontend solutions using web technologies

• Proven ability to architect and implement complex digital systems (MCU, DSP, accelerators)
• Strong RTL design skills with production‑quality IP
• Solid understanding of design intent, timing, and power
• Ability to translate system requirements into hardware architectures

• You have delivered your first end-to-end feature across the entire stack.
• You have identified an area where AI can optimize internal workflows or the customer product.
• You have brought a major product initiative from the initial sketch to production.

• Own the end-to-end development of the MOBROG mobile app, from front-end implementation to backend architecture
• Build and maintain cross-platform mobile applications using Flutter

• Work with a wide range of systems, processes and technologies to own and solve problems from end-to-end
• Uphold high engineering standards and bring consistency to the many codebases and processes you will encounter
• Work with engineers across the company to build new features at large-scale

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

End-to-End Data Lifecycle Ownership: Lead the design and implementation of tracking strategies that cover the entire lifecycle: from initial requirements gathering to Generation, and finally to automated Validation....