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Apply Now Job Summary The Student Research Assistant will support a faculty-led research project examining how algorithmic bias affects social equity in areas such as healthcare, hiring, and
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analysis, and algorithms of computational research questions at a level sufficient to converse with Princeton's world-class researchers to support the ongoing work. This will consist of independent research
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for fully automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography
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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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; Associated processing, mitigation, retrieval, correction and calibration algorithms for product generation. For remote sensing this includes algorithmic developments relevant to Lvl1 and Lvl2 ground processing
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Estimation. The research includes the following activities: • Develop algorithms and research directions to improve state estimation of polar ice caps (Greenland/Antarctica) • Calibration/Validation of high
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technical subjects such as programming, data science, machine learning, and algorithmic fairness is highly desirable. Candidates must have teaching experience in a degree-granting program, including lecture
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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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Position Location: Odense, 5230, Denmark [map ] Subject Areas: Pure math with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. Appl Deadline: 2025