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Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
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Develop AI solutions that drive commercial business decisions We are looking for a highly capable machine learning specialist to lead the development of a next-generation retail insight platform
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
No Position Type Permanent Staff (EHRA NF) Working Title Learning Specialist Appointment Type EHRA Non-Faculty Position Number 01003824 Vacancy ID NF0010066 Full Time/Part Time Full-Time Permanent FTE 1 Hours
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for flexibility in the start and end dates, subject to approval by the department and the funding agencies. The successful candidate will join the Machine Learning & Data Science research group and conduct research
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advance machine learning and natural language processing (NLP) methods to analyse complex information manipulation, legal responses, and opposition actors across critical domains such as election integrity
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English PhD Research Fellow in Machine Learning and Statistics Apply for this job See advertisement About the position Integreat - the Norwegian Centre for Knowledge-driven Machine Learning
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is available from 1 October 2026 or later. You can submit your application via the link under 'how to apply'. Title Data Analytics and Machine Learning on Compressed Data Research area and project
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UiO/Anders Lien 16th October 2026 Languages English English English PhD Research Fellow in Machine Learning and Statistics Apply for this job See advertisement About the position Integreat
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Bioinformaticians in advanced Machine Learning and AI The Department of Biochemistry and Biophysics. SciLifeLab (SciLifeLab ) is a national center for molecular biosciences with focus on health and
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REQUIREMENTS Learning Assistants (LAs) for HONOR 301 are motivated undergraduate students at the Presidential Leadership Academy who support instructors and peers in creating a dynamic and engaging learning