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Field
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. Candidates should either hold a PhD in Computer Science, Information Technology, or a closely related field OR hold a PhD in any field in combination with strong computer programming and data visualization
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-performance computing, machine learning models (eg. LLM), probabilistic models for data, novel techniques for making measurements, visualization tools, and community-oriented foundational software tools. Please
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publication of research or research communication. Use of computer programming as a method of research and inquiry. Applicants will be evaluated according to admission requirements in The Faculty of Humanities
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communication. Use of computer programming as a method of research and inquiry. Applicants will be evaluated according to admission requirements in The Faculty of Humanities' PhD Program pt. 2.1 . Applicants must
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, economics, computer or data sciences, management, public policy, or an associated discipline. Along with their mentored research, this fellow will join a cohort of Fritz Family Fellows working
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may come from a diversity of disciplinary backgrounds, including but not limited to veterinary medicine, epidemiology, ecology, biology, computer/data science, economics and other social/behavioral
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(6 ) Computer, Information, and Data Sciences (17 ) Life Health and Medical Sciences (4 ) Other Non-Science & Engineering (13 ) Social and Behavioral Sciences (29 ) Age: Must be 18 years
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and assessment of current and proposed education programs. Collect, prepare, and analyze research data; maintain a computer database of research data; tabulate and display data for presentation in
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disciplinary backgrounds, including but not limited to veterinary medicine, epidemiology, ecology, biology, computer/data science, economics and other social/behavioral sciences, nutritional sciences, etc
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beyond biochemistry) or in chemical computation. Responsibilities: 1. Conduct experimental or computer modeling/phenomenology research on any of the following: (1) Polymer Chemistry and Self-assembly (e.g