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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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, biomedical engineering, physics, or a related field, or an equivalent combination of education and research experience. PhD preferred but not required; relevant hands-on experience is especially important
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opportunities to attend scientific conferences and skill-specific learning events, based on performance and project relevance. A close-knit, collaborative lab environment where cross-team support is encouraged
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written summaries of experiments with results. Read literature applicable to research areas as the need arises. What you bring: Bachelor of Science degree in an appropriate field of science or technology or
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engineering, etc.) are preferred. Previous experience with laboratory work, greenhouse work, and/or growing plants is preferred, but not required as training will be provided. Ability to be dependable
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, organic chemistry, chemical biology, and high-resolution optics, our lab uses experimental photochemistry, computational modelling, and physical chemistry to engineer fluorophores and molecular tools
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here is enterprise product engineering. This role requires real production experience: systems versioned, tested, deployed through CI/CD, and operated under SLAs, with genuine machine learning and deep
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suitable research methods, and routinely review research activities to determine where new information, methods, or collaborations could positively impact projects. Review available technology and assist in
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compositions and cellular locations of hundreds of evolutionarily conserved protein complexes used by neurons and glia. This project involves germline genetic engineering in Drosophila to add epitope tags
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generated annotations Provide feedback about image quality and/or software performance Provide feedback on annotation challenges and report biological observations Perform computer automated analysis and