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The Center for Statistics and Machine Learning (CSML) at Princeton University invites applications for Postdoctoral Research Associates position. Appointments are for one year with the possibility
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PhD in a related field (e.g., statistics, computer science, electrical engineering, applied mathematics, or operations research), before September 2024, are encouraged to apply. Ideal candidates will
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condensates) and to leverage these findings for bioengineering applications. Candidates completing (i.e, with a confirmed defense/viva date) or holding a PhD in chemical engineering, chemistry, physics
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Company: Princeton University Description: The Center for Statistics and Machine Learning (CSML) at Princeton University invites applications for Postdoctoral Research Associates position. Appointments
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applicants with a strong background in comparative genomics/transcriptomics. 4) Dynamics of hummingbird-plant interactions. We seek applicants with a strong background in community ecology, statistical
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applicants who advance discovery in their fields of scholarship using techniques from machine learning and statistics. Applicants may also make research advances in the machine learning and statistical
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to address social problems. This position also includes opportunities to learn and develop research skills and receive professional mentorship (e.g., in preparation for applying to a PhD). Assisting in
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(BSPL). Individuals with a PhD and research interests in psychology, sociology, behavioral economics, management, or another social or behavioral science relevant to the study of human behavior on climate
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hands-on workshops on research methods, tools, and applications, including the collection or use of datasets, according to affiliates' needs * Research and statistical consulting to CSDP affiliates * Make
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Professional Specialist/Research Director for the Center for the Study of Democratic Politics (CSDP)
hands-on workshops on research methods, tools, and applications, including the collection or use of datasets, according to affiliates' needs * Research and statistical consulting to CSDP affiliates * Make