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, 2026) in Psychology with demonstrated expertise in gender development. Applicants should have expertise in video coding (e.g., Datavyu), longitudinal data analysis (e.g., RI-CLPM, growth-curve analysis
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degree (or expect to receive a PhD degree by June 15, 2026) in Psychology with demonstrated expertise in gender development. Applicants should have expertise in video coding (e.g., Datavyu), longitudinal
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regenerative medicine in the lab of Dr. Kai Mesa at Princeton University. The Mesa Lab has pioneered innovative intravital multiphoton imaging techniques, paired with advanced mouse genetic tools, to observe and
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about each Principal InvestigatorRabinowitz, Joshua - Major areas of interest include: Metabolomics, isotope tracing, metabolic flux analysis, quantitative modeling, mass spectrometry imaging, cancer
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, materials science and engineering, chemical engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of spectroscopic and imaging techniques
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spectroscopic and imaging techniques for UHV surface science experiments and methods. Additional expertise in plasma, plasma-materials interactions, and/or ALE is of significant value. Experience with the design
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(energy auditing, GHG accounting, resource recovery)*Strong publication record and excellent written/verbal communication skills*Experience in coding for high performance computing (e.g., university cluster
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about each Principal InvestigatorRabinowitz, Joshua - Major areas of interest include: Metabolomics, isotope tracing, metabolic flux analysis, quantitative modeling, mass spectrometry imaging, cancer
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and mathematical approaches to signal analysis, information theory, computational biology and image processing. The term of appointment is one year with the possibility of renewal pending satisfactory
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(energy auditing, GHG accounting, resource recovery)*Strong publication record and excellent written/verbal communication skills*Experience in coding for high performance computing (e.g., university cluster