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position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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questions and data of CREATE. The successful candidate will conduct advanced methodological and psychometric research. Potential topics include (a) AI, machine learning, and large language models
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drugs and proteins, biosimilar proteins, generic peptides, and nanoparticle therapeutics. Project will apply predictive analytical tools to identify patient populations at risk for adverse immune
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an experiment to evaluate trap cropping systems for control of this pest in cotton; Learning Objectives: Under the guidance of a mentor, the participant will gain experience in: Learning about project development
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 14 days ago
investigate approaches to harmonize diverse clinical trial datasets, and analyze complex data across multiple studies. Through this, you contribute to developing analytical tools for rapid regulatory response
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. Based in North Bethesda, MD, the IHC optimizes computational and analytical methods to build a learning health system for improving the health and quality of life of the citizens of Maryland. Key foci
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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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analytic components and develop working relationships with research partners Lead/co-author analytic sections of quarterly and annual reports Contribute to webinars and knowledge mobilization activities
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets