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. Work in our group focuses on developing innovative image analysis, machine learning, artificial intelligence and data science methodologies for multimodality imaging, and also on incorporating
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(SAII) will learn how to run and maintain a number of wet chemistry laboratories and analytical facilities, including filter weighing facility, x-ray flourescence spectrometer, gamma spectrometers, gas
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on GPU clusters and cloud HPC/ADK Implement data-efficient fine-tuning, adaptive learning workflows and agentic frameworks for reasoning Collaborate with machine learning experts and computational
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knowledge of the foundations of machine learning and probability theory. Excellent communication and writing skills. Strong project management skills and demonstrated mentoring skills with students and
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. Candidates possessing a strong computational background combined with a good understanding of molecular biology will be especially well suited to fill this position, including background in machine learning
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undergraduate and graduate programs. Candidates with expertise in machine learning, big data, mathematical finance and probability theory are particularly encouraged to apply. The department expects to support
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Scientist. The Associate Research Scientist will conduct research in the Bioelectronics Systems Lab on a brain-computer interface to work on the development of a new class of brain implant devices. Reporting
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experience preferred. Must have sufficient computer literacy to process and reduce data using spreadsheets programs and computer programming languages as needed. Ability to participate in field programs is
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in the Social Sciences (QMSS ) MA Program at Columbia University invites applications for adjunct faculty positions to teach courses in Spring 2026, in the broad areas of machine learning, data science
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York, New York 10027, United States of America [map ] Subject Areas: Operations Research / Data Analytics , Data Science , Financial Engineering , Machine learning , Operations Research , Optimization