135 algorithm-development-"https:"-"Universidade-do-Minho---ISISE" Fellowship positions
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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focused on using advanced numerical methods to explore low energy dynamics in strongly interacting quantum spin systems. The candidate will develop and implement advanced algorithms to investigate
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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technical work that underpins the scientific research of the collaboration. Research Title: Indoor Localization, Tracking, and Navigation The work will entail: ? Basic research leading to the development
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Department of Geography and the Environment. The postdoctoral scholar will lead sediment remote sensing algorithm and foundation model development and implementation, remote sensing and field data acquisition
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advantageous. Proficiency in algorithm development using Python will be advantageous Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405545/research-fellow-ai-… Requirements
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of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep
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software architecture. Drive research and development of algorithms for natural language understanding, structured command generation, and domain-specific model adaptation or fine-tuning. Integrate NLP and
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-funded AI research group “Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data (DeSBi)” development of deep neural networks and machine learning algorithms for the analysis
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experience in extending or enhancing the capability of digital design tools. Experience in algorithm development and/or workflow automation for digital design processes. A proven track record of using relevant