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https://main.hercjobs.org/jobs/21764043/2025-postdoctoral-research-associate-ai-machine-learning-for-analytical-and-forensic-chemistry Return to Search Results
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and societal. In this context, we welcome applicants from diverse backgrounds such as computer science, electrical and computer engineering, sociology, public policy, information science, communication
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inference and statistics; computer vision and novel applications of machine learning.Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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design or experimental methods and machine learning. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory
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research associate positions broadly in statistics and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu ). The position is for one year with the possibility of reappointment
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been filled. Contact information for three references is required. To learn more about CITP's fellows' program please visit our website (https://citp.princeton.edu/programs/fellows/). CITP is committed
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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-Sigler Institute for Integrative Genomics and the Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning
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statement, and a cover letter. Contact information for three references is required.To learn more about AI at Princeton, please visit https://ai.princeton.edu .Princeton University is committed to fostering a