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Yankner lab at Harvard Medical School in Boston Massachusetts. The work of the Yankner lab is focused on uncovering the cellular and molecular mechanisms driving cognitive decline and neurodegenerative
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on these platforms, and evaluate users’ responses to alternative mechanisms. The successful candidate will work with a diverse team of faculty members, engineers, and industry partners, including labs at the College
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via human-in-the-loop feedback and reinforcement learning mechanisms in collaboration with other work packages. Maintain high software engineering standards through rigorous testing, version control
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or precision measurement applications - programming skills (preferably Python), databases, data visualisation, and version control - general laboratory skills (especially: optics, opto‐mechanics, opto
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(especially: optics, opto‐mechanics, opto‐electronics, RF‐electronics) - good knowledge of analog and digital electronics - programming skills (preferably Python), databases, data visualization, and
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characterization of laser systems for laser cooling or precision measurement applications - general laboratory skills (especially: optics, opto‐mechanics, opto‐electronics, RF‐electronics) - experience in
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able to develop computational pipelines, but will be primarily driven by the biological mechanisms behind the analytical procedures. For questions about this position, email: [email protected] How
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Australia Group Leader. In this pivotal role, you will head an independent research team dedicated to unravelling the basic mechanisms of the regenerative process, enabling the next generation of discoveries
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who want to return to research after a career break of at least two years to carry out research focused on understanding the mechanisms that regulate cancer cell proliferation, survival and
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Framework for Medical Device Surveillance https://reporter.nih.gov/project-details/11091149 · CardioOnco-AI: AI-Empowered Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site