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external) provides algorithmic and data-driven solutions providing fairer access to public educational resources. The lab enables school districts to optimize large-scale equitable resource allocation
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single-cell sequencing, spatial transcriptomics, and machine learning algorithms to to understand, at the tissue and organ level, how specific cellular communications—from synaptic connectivity to neural
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cancer epidemiology with a Ph.D. degree in biostatistics, operation research, epidemiology (with strong computation skills), or related fields and hands-on experience in algorithmic implementation and
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: The appointment is scheduled to begin on September 15, 2025, and last for one year; a later start date may also be possible. The position is renewable for a second year, contingent on satisfactory performance
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applications to be submitted by April 1, 2025. The appointment is scheduled to begin on September 1, 2025. The initial appointment is for up to 12 months. The position is renewable up to June 30, 2027
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. The appointment is scheduled to begin on September 1, 2025; a later start date may also be possible. The initial appointment is for up to 12 months. The position is renewable up to June 30, 2027, contingent
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the position is filled. Interviews with applicants will be scheduled via phone or videoconference. Required Qualifications: Applicants should have a Ph.D. in Environmental Engineering, or related fields