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and modeling of properties and spectra of PFAS chemicals with the goals of improving detection of PFAS compounds, replacing PFAS in plasma etching processes, or identifying solid adsorbent additives
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experiments pertaining to model development. The Research Assistant will aim to further SIL?s contributions to developing novel simulation models for surgical training, education, and rehearsal. The Research
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research projects. In this role, the research assistant will conduct experiments on language models and evaluate these models. They will also work with supervising faculty on writing research papers
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a track record in computational modelling that explores the dynamics of AI systems and the development of autonomous AI agents, experience with machine learning, reinforcement learning, and generative
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We are seeking a BESAFE Data Research Assistant to support the Check-The-Box Oncology program, which focuses on addressing the critical issue of substandard and falsified (SF) oncology medicines
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work that underpins the scientific research of the collaboration. Research Title: Process Modeling using Physically Informed Machine Learning The work will entail: § Designing and training physics
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: The Infrastructure Materials Group at the National Institute of Standards and Technology seeks a researcher with knowledge of reliability testing and modeling for advanced semiconductor packaging and extensive
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Internal Number: 118155-en_US We are seeking a BESAFE Data Research Assistant to support the Check-The-Box Oncology program, which focuses on addressing the critical issue of substandard and falsified (SF
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-generation seismic design and post-earthquake evaluation procedures. Key Responsibilities: - Synthesize knowledge from past experimental tests and high-fidelity models of structural steel components
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models, frameworks, and methods to confront complexity underlying persistent societal challenges affecting the well-being of people and the planet. This position represents a unique opportunity to