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Field
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candidates will be working with a team of researchers on a range of topics, including artificial intelligence, RF sensing and communications, multimodal UWB RF signal data analysis, and wireless sensing
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, ion irradiation, corrosion studies, advanced microscopy, and artificial-intelligence-enabled microstructural analysis to support the development and qualification of next-generation structural materials
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. Artificial intelligence (AI) is evolving rapidly, and we recognise its
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York University Abu Dhabi, seeks to recruit a highly motivated post-doctoral candidate in the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property
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against these where possible. Artificial intelligence (AI) is evolving rapidly, and we recognise its growing role in professional work. Applicants may use AI tools to support preparation
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interest in societal impact. You have: Must have criteria: a PhD in computer science, artificial intelligence, data science, computational social science, urban analytics, geoinformatics, or a related field
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, with a strong interest in the integration of geospatial Artificial Intelligence (AI) and machine learning. Are you enthusiastic about the chance to combine research in Remote Sensing and AI with teaching
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7 Jul 2026 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions PhD
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for your students, your research, and society at large. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics ) at the Department of Computer Science, Electrical and Space