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. These tools write and execute code, optimize experimental and model parameters, and drive instruments. Letting AI agents act on shared research infrastructure requires serious safety engineering. The
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for high-throughput screening; viral vector production; NGS library preparation; and/or basic coding skills for data analysis including R or Python. Dynamic, adaptable, and comfortable working in a fast
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business problem, selecting the right approach, writing the code, and operating what gets built. The work is technical, consequential, and visible across the organization. What you will actually do Build
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recording hardware, behavioral rigs, electronics, 3D-printed parts, and analysis code] and who wants direct exposure to modern systems neuroscience rather than a narrowly defined coding or bench-only position
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code and brings a critical eye to interpreting results within their research context. As you grow in the role, you'll gain increasing independence, while knowing when to loop in the computational lead or
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for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a joint project, please describe your specific contributions. Briefly
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, and challenges encountered. If the project was collaborative, describe your specific contributions. Include links to relevant code repositories and your GitHub/Gitlab profile, personal website
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of science. Advanced experience in coding and analysis of large multimodal datasets. Ability to learn quickly and to work both independently and as part of a team. High level of research integrity and
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coding and analysis of large brain and behavior datasets. Ability to learn quickly and to work both independently and as part of a team. High level of research integrity and motivation. Positive attitude