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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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dataset analysis, machine learning tools, and relevant computational biology approaches • Document, compile, and format data analysis in presentations and reports to supervisor. • Mentors and trains
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Staff Union Non-Union Non-Classified Staff Pay Grade Level Grade Level: 99 Pay Grade Range N/A Status Calendar Year, Full-time, Limited Department Information Department Elec, Computer & Bio Engr Contact
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. ICDS seeks outstanding early‑career researchers with expertise in Artificial Intelligence and Machine Learning in the following computational and data‑driven discovery areas: Earth Science Computational
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. Ideal candidates will have demonstrably strong research skills, evidenced by multiple publications in top-tier machine learning or artificial intelligence conferences and/or leading scientific journals
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(e.g. reports, policy documents, gray literature, or citizen science observations), Apply advanced statistical, machine learning, and AI techniques to analyze complex datasets and uncover actionable
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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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the guidance of your mentor, you will study Fusarium Head Blight (FHB), one of the most significant diseases affecting wheat production, grain quality, and food safety worldwide. You will learn how
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. Candidates should be able to rapidly learn new approaches, work independently, generate publication quality data, and craft the data into manuscripts and fellowship applications. Job Description: Key Roles and
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Experience in one or more of the following areas is preferred: Statistical genetics Human genetics Population genetics Evolutionary genetics Bayesian statistics Machine learning Large-scale genomic data