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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
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://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
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senior researcher in the areas of soft materials and polymer physics. The successful candidate will develop strategies to design, synthesize, and characterize the properties of soft materials using
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and additive manufacturing of architected materials. Previous experience in experimental, numerical, and parametric design research and experience is a plus. The project involves entrepreneurial
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-fabrication and knowledge in molecular biology, diagnostics, and/or optical measurements is a plus.2. Nanofabrication and applications. Candidates should have significant experience in micro/nano-patterning
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of such efforts. Responsibilities will include activities such as working with large public datasets, designing and implementing relevant experiments writing manuscripts, presenting research, and mentoring
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applicants will have:*Expertise conducting spatial and statistical analyses*Experience with scientific computer programming in R and Python*Formal training or experience applying quantitative and spatial
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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
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include designing online studies for peer interaction with children, writing manuscripts, presenting research, and mentoring undergraduate and graduate researchers in the group. The term of appointment is
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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