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Field
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interactive and complex data visualizations and analysis tools (e.g. data dashboards); researching, designing and testing algorithms and programs; refining tools based on feedback, and ensuring continuity
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to develop advanced algorithms, parallel computing capabilities, and software engineering of Green’s function based multiple-scattering code for computing the electronic structure and energetics
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algorithms and topological quantum computation). Appointments of postdoctoral fellowship positions are offered for an initial period of two years, with the possibility of extending for one additional year. The
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advanced proficiency in the underlying science, math, statistics, data analysis, and algorithms of computational research questions at a level sufficient to converse with Princeton’s world-class researchers
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, perform data cleaning. Develop machine learning algorithms, natural language processing tools, and end user tools. Develop and interpret MCMC models; develop meta-models. Analyze epidemiologic and
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data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solutions for highly complex application
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& AI hardware or brain-inspired AI algorithm development, spatial analysis of multi-omics data. We are particularly interested in applicants with a demonstrated track record of translating discoveries
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data and analyzes outcomes. Performs research on current and future HPC, data, and CI technologies, hardware and software. Works on algorithm development, optimization, programming, computer science
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science topics, including practical software development skills. Expertise in teaching mathematical subjects related to computer science such as discrete structures, analysis of algorithms, artificial intelligence
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, network, or systems solutions. Design and implement modern algorithms (coding) Position Status Full Time Posting Number 25FA0234 Posting Open Date Posting Close Date 01/05/2026 Qualifications Minimum