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these toolkits into biotechnology platforms and therapeutic reagents. Our research program integrates chemical biology, protein engineering, and cell biology techniques for therapeutic development, primarily in
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, Economics, or a related field, earned within the past six years Strong computational and statistical skills Experience with large-scale data analysis and machine learning Proficiency in scientific programming
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 18 hours ago
combination of observational data, machine learning techniques, and cosmological simulations. The group is actively involved in multiple JWST Guaranteed Time Observation (GTO) and General Observer (GO) programs
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labs at Stanford to tackle emerging clinical questions in oncology, utilizing various AI methods, predictive modeling approaches, and large language models. Specific areas of interest include but are not
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conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports
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The Princeton Quantum Initiative seeks outstanding applicants for our postdoctoral fellowship program. Appointments will be at the Postdoctoral Research Associate or more senior researcher rank
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. The researcher will be encouraged to lead independent projects resulting in high impact publications. Must have excellent written and oral communication skills, be self-motivated and able to work both
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associate. We are conducting several large randomized clinical trials, cohort studies, and surveillance programs, in India, Latin America, and the United States related to nutrition, infectious diseases, and
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance