140 assistant-professor-and-data-visualization Postdoctoral positions at Princeton University
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Princeton University's Initiative for Data-Driven Social Science (DDSS) invites applications for Postdoctoral Research Associates. DDSS supports technical and methodological innovation in
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, working under the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025
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, Cognitive Science or other closely related fields. Experience working with behaving non-human primates and/or background in electrophysiology of the visual system are preferred. All candidates must possess
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the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025. Appointments are for one
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will report to Professor Eric Tate at Princeton University and may collaborate with Dr. Christopher Emrich at the University of Central Florida. The appointment will be through Princeton's School
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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
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: 276187713 Position: Postdoctoral Research Associate Description: A postdoctoral research associate or more senior research associate position is available in the group of Professor Christos Maravelias in
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Science, Bioengineering, Cognitive Science or other closely related fields. Experience working with behaving non-human primates and/or background in electrophysiology of the visual system are preferred. All candidates must
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software delivery f) big data visualization g) cloud computing h) web application development i) NetCDF and Zarr data models f) earth system model development. Experience with software development, analysis
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of phylogenomics to work with Professor Tiago Simões. The Simões lab is broadly interested in phylogenetic methods and applications, using morphological and genomic data for reconstructing evolutionary