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. Related research experience in atmospheric observation and data analyses. Preferred Qualifications: Ph.D. (or foreign equivalent) in Atmospheric Sciences, Engineering, Physics, or a closely related field
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(e.g., CRISPR-Cas9 or shRNA lentivirus) and unbiased big data, the Post-Doctoral Fellow will work in a NIH-funded laboratory to understand and reverse the molecular mechanisms involved in tumor
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spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available starting July 2025, and will remain open until excellent fits are found.The
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Engineering
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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time. Collaborate on project and analysis design guided by their PI. Develop new computational methods. Adhere to field and lab standards for data analysis. Identify, process, organize, interpret, review
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safety at ORNL and DOE sites. This position resides in the Performance Engineering group in the Data and AI Systems Section in Computer Science and Mathematics division within Computing and Computational
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Experiment (AGAGE) and a large atmospheric chemistry group at MIT. The work will focus on interpretation of AGAGE observations of greenhouse and ozone-depleting gases using models, measurements, and inverse
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neurophysiology experiments. Perform large dataset analysis of neural data. Assist with lab animal care. Assist with publishing scientific journal articles. Expectations: The Postdoc will be expected to complete
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, including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and