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Postdoctoral Associate – Global Labor and Work, ILR Future of Work Program The Industrial and Labor Relations (ILR) School at Cornell University is seeking a Postdoctoral Associate to join the ILR
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Abrahao (NYU Shanghai) and João Sedoc (NYU Stern). Research Focus Areas Our research encompasses topics in DL and AI, including but not limited to: Deep Learning Algorithms and Paradigms Generative Models
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Date 07/01/2025 Requisition Number PRN42366B Job Title Post Doc Res Assoc Working Title Post Doc - Computational Pathology Job Grade A00 FLSA Code Administrative Patient Sensitive Job Code? No Standard
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Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical
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the AI-Driven Leadership Program. This course provides leaders with foundational knowledge of artificial intelligence concepts, terminologies, and technologies to support informed decision-making and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
development of statistical and artificial intelligence algorithms for the analysis of high-resolution histology images. The Research Specialist will contribute to the development of novel computer vision
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algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
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for data analysis and research. Machine Learning Skills: Experience with machine learning algorithms, transformers, or large language models to analyze genomic data. Computational Proficiency: Skilled in R
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of teaching broadly across the undergraduate computer science curriculum, including courses such as introductory programming, data structures and algorithms, and advising project courses at all levels. Conduct
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Computer Science Department GENERAL DESCRIPTION This position involves computer programming and algorithmic development in support of the research project “Parametric Synthesis of Realistic Photoplethysmography (PPG