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• 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.

Software Engineer TypeScript/Electron (m/f/x) (80-100%) Threema is the world's best-selling secure messenger for both private users and businesses. Since 2012, we have been working tirelessly to ensure that our users can communicate freely without worrying about their privacy. Our growing user base...

In this role, you will combine cutting‑edge fundamental research with direct industrial application and actively shape the next generation of intelligent inspection solutions....

• An opportunity to build the foundation for next-generation products
• The possibility to conceptualize and implement interaction design and to prototype with new hardware and sensors
• Mentorship by experienced PhD-level experts
• The option to write a Master's thesis following your internship

As a research engineer you will develop innovative methods for the validation and release of complex AI models, including probabilistic, generative, and large‑scale models....

• Evaluate, configure, and maintain the AI development tool stack (GitHub Copilot, custom agents, local LLMs) .
• Standardise how AI agents interact and integrate with our internal tools, services, and development workflows with MCP .

Fullstack Engineer Digital Solutions 80 - 100 % (w/m/d) For more than 40 years, Hamilton Medical has shaped the future of mechanical ventilation. We develop Intelligent Ventilation solutions that support clinicians in critical moments. Our Hamilton ventilators are used in intensive care units,...

You build with AI as a co-worker. Claude Code, Cursor, Copilot, agentic workflows – you use the tools that deliver the biggest leverage today, and you actively experiment with what's coming next...

• 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)

• Closely follow the latest AI research and technology developments, identify relevant advances, and assess their practical potential for enterprise use cases
• Rapidly prototype and test new methods, architectures, and system patterns against realistic business problems, workflows, and data

• Collaborate closely with your Tech Lead on architecting new features and seeing them through to completion.
• Design, develop, test, deploy and maintain software in a thriving environment.

PostDoc in Computational Biology: Study of the crosstalk between the tumor and immune system in metastatic colorectal cancer PostDoc in Computational Biology: Study of the crosstalk between the tumor and immune system in metastatic colorectal cancer Materials science and technology are our passion....

Software Engineer & Business Development Full-time • Software Engineer / Business Development • Asia Market Focus ABOUT THE ROLE We are a deep-tech quantum sensing company commercializing scanning NV (nitrogen-vacancy) microscopy instrumentation and quantum sensing software. We are looking for an...

• Design and implement high-performance software components for complex distributed systems, focusing on C++ development and advanced network protocols.
• Develop features aligned with the product roadmap and implement custom solutions for individual customer requirements.

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....

• Design, develop, test, deploy and maintain software in a thriving environment
• Manage individual project priorities and deliverables whilst working in a team who enjoy knowledge sharing sessions

• 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

• Build scalable AI-supported products, services and internal tools that improve business processes, efficiency and measurable outcomes.
• Act as a sparring partner for leadership, product owners and engineering teams to identify and prioritise high-impact AI opportunities.

Build scalable software solutions such as backend services and APIs that support our business processes and own the continuous development of our platform....

Developing software and machine-learning algorithms for internal use by scientists conducting biopharmaceutical formulation development...