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, including a list of publications and presentations, a summary of research accomplishments and interests, and the names and contact information of at least three potential references to https
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and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu). The position is for one year with the possibility of reappointment based on satisfactory performance and
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matter, mathematical, and particle physics. Candidates for the position should have a Doctorate degree in Physics or a related discipline. To apply online, please visit https://puwebp.princeton.edu
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: Experimental condensed matter physics, cosmology and astrophysics, particle astrophysics and dark matter, high energy, atomic, pulsar and biophysics; theoretical cosmology, condensed matter, mathematical, and
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energy, atomic, pulsar and biophysics; theoretical cosmology, condensed matter, mathematical, and particle physics. Candidates for the position should have a Doctorate degree in Physics or a related
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Princeton University, Program in Applied and Computational Mathematics Position ID: 639-PDRA [#26786, PACM2026] Position Title: Position Type: Postdoctoral Position Location: Princeton, New Jersey
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applications for postdoctoral or more senior research associate positions broadly in statistics and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu). The position is for one year
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@princeton.edu . Applicants must apply online at https://www.princeton.edu/acad-positions/position/37701 . Please upload (1) a recent CV, (2) publications list, (3) a research statement, and (4) contact
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energy, atomic, pulsar and biophysics; theoretical cosmology, condensed matter, mathematical, and particle physics. Candidates for the position should have a Doctorate degree in Physics or a related
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a broad community. The scope of the work builds on recent publications from the laboratory, e.g. integrating language models with mass spectrometry data (https://www.nature.com/articles/s42256-021