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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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producing, cleaning, and analyzing data files And producing summaries of data from data sets. Assists with department’s social media posts and digital signs Qualifications / Licenses / Certifications High
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structured and unstructured data, such as text, images, and videos. Additionally, there are individual machines available, each with high-performance GPU cards for enhanced processing capabilities. Various
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evaluations of AI systems across diverse cultural contexts Collaborate with computer scientists and anthropologists to develop new methods for pluralistic alignment Publish high-impact research in top venues in
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and apply them to conduct experiments. Ability to use standard computer programs to perform data analysis including statistical analysis and technical evaluation of research results. Ability to evaluate
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proficiency. Preferred Qualifications: Prior knowledge and experience in at least three of the following: working with high-performance and cloud computing, programming in Python, data analysis and
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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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facilities in Chile, Arizona, and the Canary Islands. Postdocs in the University of Alabama Department of Physics and Astronomy also have access to High-Performance Computing facilities at UA, including
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://fa.oregonstate.edu/stu-manual/500-employment-eligibility-requirements Must be academically enrolled in a high school, community college, or university and pursuing a program or course of study Must meet Academic
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solutions, buffers, and media. Gathers, organizes, enters, and analyzes data; perform literature searches on computer and retrieve literature from library. Incorporates new information/techniques