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graduates who are considering entering a graduate degree program (Ph.D. / JD) in the near future. The first two fellows have gone on to pursue PhDs at MIT and Harvard, respectively, as well as a JD at
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scalable systems of design and analytic planning methods to make tangible and systemic impact, and to explore the risks and potentials of emerging technological capabilities such artificial intelligence
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organizational and writing skills Ability to work well with college students; to work as team member as well as independently Knowledge of Excel and willingness to learn new software, including Survey Monkey
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work on both probabilistic modeling, software development, and cancer biology analysis for this position. PhD in computer science, computational biology, or related quantitative field. Strong oral and
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and statistical modeling for reliable analysis on spatial multiomic data. The candidate will work on both probabilistic modeling, software development, and cancer biology analysis for this position
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field. Demonstrated ability to perform research that addresses fundamental science questions. Demonstrated experience with computational chemistry methods including density functional theory, molecular
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in experiments or fieldwork. Organize and manage research data, including data entry, coding, and maintaining data integrity. Use relevant software tools and methods as required. Assist in conducting
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research is open; we are particularly interested in those working in the period between 1900 and the present. Open to scholars with PhDs in Science and Technology Studies and related fields whose research
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: Developing, testing, and analyzing research results through empirical and computation methods to support projects funded by federal agencies with background in metallurgy, materials, additive manufacturing
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methods with state-of-the-art technologies such as comprehensive mouse phenotyping, 3D tissue clearing & imaging, in vivo transplantation and 3D imaging of transplants, and single-cell and spatial multi