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, biology, plant sciences, computer science, statistics or in any related field. Plant molecular biologists with prior experience in molecular genomics and are interested in expanding skillset into machine
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in many aspects of the LZ experiment, from detector calibration, simulations to data analysis. The successful candidate will play an active role in analyzing LZ data, with opportunities to improve
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collected teeth from thousands of children. This role offers a unique opportunity to engage in innovative research, all while receiving outstanding mentorship in a collaborative, dynamic environment. This
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engage fully in the lab’s dynamic environment. Required: Ph.D. in a relevant field such as Biology, Biochemistry, Epidemiology, Genetics, Genomics, or Psychology Strong publication record, including first
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(e.g., proof assistants, simulation frameworks, structured data environments). Familiarity with Lean or other formal mathematics platforms. Experience with temporal network analysis or hypergraph
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and meteoritic materials as a result of space weathering and other alteration processes, and/or the weathering of Venus surface analogs under simulated atmospheric conditions. Experience in