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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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-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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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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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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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
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applications to alternative fuel design and atmospheric chemistry. The successful candidate will be expected to assist with the commissioning of a new shock tube facility and will conduct fundamental
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focuses on using optogenetics and metabolic engineering for engineering microorganisms for bioproduction. The main responsibilities of the Postdoctoral Research Associate are to lead the design and
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catalysis, and/or plasma-assisted catalysis is of significant value to participate in other ongoing projects in the lab. Experience with the design, construction, and operation of high-vacuum instruments and
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nanophotonics. Candidates should have significant experience in nanophotonic devices (including nano-plasmonics) design, fabrication, and characterizations. All candidates should have a Ph.D. degree. Appointments
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subdivisions of the squamate body plan. The candidate will work towards developing computational resources that assist in the data management and analysis of genomic data and its integration with phenotypic data