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The University of Essex offers an exciting opportunity for a Senior Research Officer in Machine Learning to work on out-of-distribution generalisation for tabular data, under the EPSRC-funded
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Field of study: computer science, mathematics, software design, software engineering, technical computer science or comparable. Machine Learning (ML) models are reaching a maturity level that allows
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, United States of America [map ] Subject Areas: Statistics, Machine Learning, and AI Appl Deadline: 2025/07/01 11:59PM (posted 2024/10/31, listed until 2025/07/01) Position Description: Position Description The University
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Internal Number: 6224146 Sr. Machine Learning Engineer About the Opportunity JOB SUMMARY The Sr Machine Learning (ML) Engineer applies expertise in deploying and scaling AI pipelines across at least one
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, analysis, machine learning, and large language model (LLM) skills using Python? Do you have a strong understanding of quantitative methods and business decision-making processes? If you're passionate about
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Computing, Engineering and the Built Environment (On-site) Machine Learning R&D Engineer (KTP Associate) Fixed Term: 18 months Salary range: £45,000 - £55,000 per annum Location: Buro Happold Limited
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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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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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, at the University of Cambridge, UK. The Research Assistant will work together with a team of students and research collaborators on the development of learning-based control policies that facilitate
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University's Faculty of Arts and Sciences to study spatial and temporal aspects of interaction patterns in biological systems. We are looking for exceptional candidates with background in machine learning and