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and development of experiments and detectors. Support the operation and performance of detector systems. Analyse experimental data and contribute to physics results. Collaborate with international teams
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engineer will contribute to the development, execution, and evaluation of scalable post-training workflows for Apertus. Infrastructure and systems engineering Build and maintain containerised environments
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, and upgrade container images for all core ML development phases: pre-training, post-training/alignment, and model serving/deployment Target the ARM-based (aarch64, Grace-Hopper) node architecture
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the evolution of multicellularity; and (3) advancing liquid-biopsy approaches that read cell-free nucleic acids from blood to detect disease, monitor physiology in collaboration with external partners
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-solving mindset Fluency in English, both written and verbal; German would be an asset Workplace Workplace We offer Very diverse and international work environment Perspectives for career development Support
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publishing quality database systems research A strong publication record and hands-on experience in system development are especially important We offer The DIAS Lab team is renowned for its collaborative and
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civil engineering. It is known for its development of tools, design methods, large-scale analyses and built prototypes aimed at enabling the Architecture, Engineering and Construction (AEC) sector
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(Golang, Rust, Typescript), test-driven development, automatic deployment Intelligent use of LLM tools as support for your work, not as replacement Willingness and enthusiasm to learn new technologies
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working conditions in an international, innovative environment at a world-leading university. Flexible working hours, professional development opportunities, and work-life balance programs. A high degree of
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builder. You bring experience from business development, industry liaison, technology transfer, or corporate research collaborations, and you speak to company leadership as a peer. You hold a doctorate in