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as Computer Science, Robotics, Civil Engineering, Architecture, etc.Excellent track record of research and publications related to the job descriptionStrong scientific writing and communication
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around the identification of small molecules using mass spectrometry data, and the use of language models to predict the existence of undiscovered small molecules that are likely to be observed by mass
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The Princeton University WET LAB (https://ren.princeton.edu/) is seeking a postdoctoral research associate(s) or more senior researcher(s) with expertise and interest in Large Language Models (LLM
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postdoctoral and PhD researchers on the team*Interest in developing and applying Large Language Models (LLM) and spatial Machine Learning (ML) modelsSalary and full employee benefits are offered in accordance
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*Strong publication record (relative to degree timing) *Collaborative spirit in interacting with postdoctoral and PhD researchers on the team *Interest in developing and applying Large Language Models (LLM
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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict
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. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict the existence of undiscovered small
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both research groups. The Atkinson lab focuses on using protein engineering, electrochemistry, and synthetic biology approaches to control gene expression and metabolism in microbes. The Avalos lab
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collaborate with the ARG team on developing grant proposals. Qualifications Required qualifications: Doctoral degree in a related field, such as Computer Science, Robotics, Civil Engineering, Architecture, etc
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engineering. We seek candidates with an interest in participating in large multi-PI grants and with collaborative research experiences, experience writing proposals for user-facilities, and/or experience