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biogeochemistry is also essential. The successful candidate will demonstrate proficiency in numerical modeling and statistical methodologies for interpreting in-situ and satellite observations. Additionally
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Do you have an interest in computational research and writing code? Do you want to help enable and advance pioneering social science research? If so, Princeton University's Data-Driven Social
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methods range from process-tracing in controlled lab and virtual-lab experiments, to field experiments in real-world settings, to using big data, and include both quantitative modeling and qualitative
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systems; directs the University IT Risk Assessment process; recommends and monitors computing practices to prevent and recover from security breaches and handles breaches when they occur; provides vision
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of identified cell types and computational modeling. Thus we expect these circuit-level reconstructions to inform specific biological experiments, enabling dramatic leaps in our understanding of brain function
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via computational mass spectrometry. The position is available starting November 2024 and will remain open until excellent fits are found. The successful candidate will develop and apply computational
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background in chemical and biological engineering, bio-engineering, molecular biology, microbiology, biochemistry, biophysics, computational modeling or related fields. Experience in metabolic engineering
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, and evaluation of large AI models (especially language models); their applications to various academic disciplines on campus; and study of their impacts on society. The research scientist should have
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function through a synthesis of anatomical, functional, and computational insights. We are seeking a motivated candidate to contribute to this endeavor. The AI Annotation Lead will be responsible
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behavioral paradigms and combined with computational approaches. We are seeking an extremely motivated postdoctoral researcher with background in human or monkey electrophysiology. Studies will include