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The Jiang Lab (https://labs.icahn.mssm.edu/jianglab/) at the Icahn School of Medicine at Mount Sinai, New York is seeking a highly motivated postdoctoral fellow with expertise in genome editing
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computational fields with expertise in machine learning, natural language processing, human-AI interaction, or computational social science. Experience applying ML/AI methods to organizational or social science
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, or closely related areas Established publication record A PhD in a relevant field (or near completion) Excellent written and oral communication skills How to Apply: Please submit: Curriculum Vitae (CV) Two
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on applying automated detection, remote sensing, and environmental modeling to identify, map, and forecast the spread of invasive plant species across natural and managed landscapes. Minimum Qualifications: PhD
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models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex problems
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methods to biological problems Experience with database querying, management systems, and data extraction techniques for large datasets Knowledge of natural language processing (NLP) and/or large language
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Description About the Wyss: The Wyss Institute’s mission is to transform healthcare and the environment by emulating the way nature builds. We harness the imagination of academia and the focus of industry
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Information , Data Visualization , Deep Learning , High dimensional Data , Large Language Models , Large Scale Optimization , Machine Learning , Natural Sciences , Public Interest Tech Computational Biology
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postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by
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to process tissue data reproducibly and at scale Conduct analyses using programming languages such as R and Python Collaborate with other laboratory members with expertise in epidemiology, bioinformatics