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, candidates should possess a strong background in quantitative fields such as Mathematics, Physics, Engineering, or Computer Science. This is a collaborative, cross-functional team, and project assignments will
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field based on knowledge of scientific theory. Perform work that includes microfabrication, engineering, and electrical/electronic testing of device platforms. Perform fabrication and testing of devices
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the integrated lenses of political theory, social science, and computer science, examining how democratic societies can shape AI systems that increasingly shape our political, economic, and personal lives
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with data and willingness to engage with theory, and possess initiative, attention to detail, and genuine curiosity about economic questions. What You Will Learn The position offers rigorous, hands
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/conducting research tasks by applying basic knowledge and understanding of scientific theory using precedents or other published guidelines and knowledge of theory and methods when specific precedents do not
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connectivity and graph-theoretic analyses Familiarity with MR sequence programming (Siemens or GE platforms) Machine learning / AI applied to neuroimaging data EEG acquisition and analysis Use of neuroanatomical
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at the local level. Application Deadline: April 10, 2026. CORE DUTIES: Participating in the planning and performing/conducting research tasks by applying basic knowledge and understanding of scientific theory
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of Humanities and Sciences. Application Deadline: May 1, 2026 CORE DUTIES: Participating in the planning and performing/conducting research tasks by applying basic knowledge and understanding of scientific theory
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and Sciences. Application Deadline: May 1, 2026 CORE DUTIES: Participating in the planning and performing/conducting research tasks by applying basic knowledge and understanding of scientific theory
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bioengineering, computer science, statistics, or mathematics OR a strong background in gene engineering and functional interrogation of hematopoietic stem and progenitor cells. Strong knowledge in bioinformatics