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to benchmark its performance. This position offers a unique opportunity to work on a multi-disciplinary project with a team of scientists and engineers and experts in commercialization and translational research
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fundamental research and applied validation underlying a multi-chamber cancer-detection device from concept through integrated laboratory demonstration. You will develop user-oriented sample-handling and assay
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and formal training in engineering is preferred. Core Responsibilities: Responsible for performing independent research Responsible for maintaining laboratory equipment used to perform research
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Expert in advanced machine learning such as multi-agent generative AI, LLMs, Diffusion models, and traditional machine learning techniques Expert in CALPHAD-based ICME techniques Expert in combining