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key part in advancing translational research, with a strong emphasis on assessing brain exposure in vivo using quantitative analytical approaches. Key responsibilities include: Designing and conducting
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interdisciplinary work is a plus. We are looking for a candidate who: is independent thinking and enjoys working in a team has expertise in deep learning is motivated for scientific work, and has excellent analytical
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chemistry, physical chemistry, analytical chemistry, organic chemistry, and biochemistry. The department has remarkable characterization facilities including multiple transmission electron microscopes
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friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description Conduct theoretical research in quantum information and quantum foundations, including quantum non
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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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within and external to the university. Self-directed learner who believes in continuous learning and development Highly proficient in technical writing and presentation Strong analytical and critical
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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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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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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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machine learning, data analytics, or computational biology. The ability to research independently as well as collaboratively, and a record of scientific productivity. Stipend $70,000.00 – $80,000.00 Yearly