75 composite-residual-stress-development Postdoctoral positions at Princeton University
Sort by
Refine Your Search
-
: (i) measurements of surface composition, structure, and thermal stability using AES, LEIS, XPS, and vibrational spectroscopy; (ii) quantitative determination of the flux and fluence of incident atoms
-
ultrahigh vacuum (UHV) surface science facilities enable: (i) measurements of surface composition, structure, and thermal stability using AES, LEIS, XPS, and vibrational spectroscopy; (ii) quantitative
-
ultrahigh vacuum (UHV) surface science facilities enable: (i) measurements of surface composition, structure, and thermal stability using AES, LEIS, XPS, and vibrational spectroscopy; (ii) quantitative
-
Branch is dedicated to accelerating the study of metabolic phenomena associated with cancer to develop new paradigms for cancer prevention and treatment. Its main research areas include: - Metabolic
-
://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
-
on i) phylogenomic inference of hundreds of whole genomic data already available; and ii) investigating rates of evolution across the genome and their correlation with phenotypic traits across various
-
interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
-
*Strong publication record (relative to degree timing) *Collaborative spirit in interacting with postdoctoral and PhD researchers on the team *Interest in developing and applying Large Language Models (LLM
-
scientists for research and development activities focused on data science and engineering. The scientist will collaborate with Princeton and GFDL researchers to enhance, analyze and deliver high-resolution
-
technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi