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candidates will be required to be in residence in Princeton or the local vicinity or demonstrate to the program's satisfaction the ability to be on campus daily and on short notice in order to fulfill
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dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus.Candidates should apply at
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
goal is to reduce climate model biases at the air-sea/ice interface by improving subgrid physics in the ocean, sea ice and atmosphere components of existing coarse resolution IPCC-class climate models
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Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus. Candidates should apply at: https://puwebp.princeton.edu/AcadHire
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skills, and be prepared to work in a dynamic environment. Candidates should apply online and include a cover letter, CV (including a list of publications), research statement (a short description of past
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technologies, computer vision, and perception Foundational knowledge of machine learning Experience developing custom tools and end effectors for robotic assembly Good knowledge of the CAD software Rhinoceros 3D
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researchers working on an NIH funded project focused on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to
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the development and testing of new materials. The work will involve reactor design and setup with gas flow capability and process optimization. Qualified candidates should have a Ph.D. in chemistry, physics
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defined research and laboratory tests and experiments according to prescribed protocols and assigned schedules and developing/documenting new laboratory protocols. All these activities should be done in
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, multiscale modeling, molecular simulation code/software (e.g., LAMMPS, GROMACS), machine learning. Prior experience with applying simulations to biomolecular systems is a plus but not required. Applicants