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the 2026-2027 academic year. The ideal candidate is an outstanding recent PhD who focuses on contemporary China from a social science disciplinary perspective. The appointment will be made for one year with
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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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multidisciplinary collaboration, scholarly advancement, and the creation of tools and public goods.RequirementsApplicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics
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; those hired at more senior ranks may have multi-year appointments. Individuals should have or be expected to have a PhD with appropriate research experience in computational biology, chemistry
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publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine learning/computer science.Term of appointment is based on rank. Positions
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Ph.D. degree by the anticipated start date of the appointment. Applicants must have no more than two years of post-PhD research experience prior to the start of the appointment. Applicants must apply
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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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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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-relevant understanding of vulnerability processes for disaster risk reduction and climate adaptation. The researcher will report to Professor Eric Tate at Princeton University and may collaborate with Dr
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are sought. Applicants will have an engineering PhD, or equivalent degree and experience in a relevant field. Ideal applicants will have experience in energy-system transition modeling, linear and mixed