35 coding-"https:"-"https:"-"Data-driven-Materials-Modeling" positions in Switzerland
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ethical issues and research requiring authorization or notification; template document provided. signed NOMIS code of conduct; template document provided. two external letters of reference
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workflows Build and run RL environments for tasks with verifiable outcomes, such as mathematics, code, tool-use, and reasoning Implement and run reward modelling, reward calibration, and verifier-based
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infrastructure for these studies, including prompt design as a controlled manipulation, generative voice agent pipelines, conversation logging and transcription Extending and validating existing LLM based coding
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considered.The job description is available on the same link (or QR code). In case of discrepancy, the French version shall prevail. We offer a pleasant working atmosphere in a multicultural, diverse and dynamic
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considered Strong Python and software engineering skills, including experience with open-source contribution workflows (pull requests, code review, CI) Experience with LLM inference stacks such as Hugging Face
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spectrometry Experience in imaging, spatial, or cross-omics disciplines Proven track record of writing and maintaining code Experience in R/Bioconductor and client-side web programming Experience with UI/UX
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high-frequency datasets to improve economic forecasting Develop and maintain reproducible code, data pipelines, and research software Profile Excellent academic results and is motivated to produce high
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for the control and data plane of network infrastructure devices as well as applications and network stack components for endhosts using SCION . This involves the design of the systems and collaboration on code
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, transformation codes, and versioning routines Building and maintaining data acquisition routines, including APIs, web scraping, and automated downloads where feasible Conducting descriptive analysis and
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the integrity and availability scientific work depends on — erasure coding, redundancy, hot-to-archival tiering. Automate everything. Deploy and scale storage and data services as code. Snowflake infrastructure