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Applicants are invited for the posts of Research Associate or Research Fellow in Machine Learning to work with AI Researchers in the Centre for AI Fundamentals at the University of Manchester. You
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at the Institute of Genetics and Cancer. Informal enquiries may be directed to Dr Athina Spiliopoulou (A.Spiliopoulou@ed.ac.uk ). Your skills and attributes for success: PhD in machine learning, genetic epidemiology
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at the School of Physical & Mathematical Sciences, Nanyang Technological University (NTU). The candidate is expected to work on the cryptography and/or machine learning. Key Responsibilities: The candidate will
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience
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: Develop novel machine learning theories and techniques for analyzing noisy time-series data, with a particular focus on seismic signals Perform uncertainty quantification in time-series analysis to assess
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] Subject Areas: Theoretical Physics / Statistical physics Complex Systems Machine Learning Computational Science and Engineering / AI/ Machine Learning , Artificial Intelligence , Data Sciences , Machine
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Learning Analytics) Posting Start Date: 08/05/2025 Job Description: Job Description The NUS Safety and Resilience Research Unit
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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
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by logging into their existing Workday employee account. Position Summary: This position will focus on developing robotics and cyber physical systems solutions, using machine learning and artificial