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computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and
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of Electronic and Computer Engineering, University of Limerick., • Prof Colin Fitzpatrick, Department of Electronic and Computer Engineering, University of Limerick. Overview: The ECODESIGN Doctoral Network (DN
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maintenance of equipment Provide mentorship and academic guidance to students Prepare and compile reports pertaining to the project. Job Requirements: PhD degree in Computer Science, Electrical and Electronic
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analysis for an viral DNA and RNA analysis project. MA- and PhD-level basic biology laboratory experience and computer programming experience are required. This position is a temporary appointment from
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both research
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PhD Positions Application Deadline 5 Jan 2027 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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) Department Electrical & Computer Engineering Position Designation Faculty Employment Type Permanent - Full-time Months per year 9 Primary Purpose of Department The mission of the Electrical & Computer
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Research Associate / Magma Research Fellows who have: a PhD in mathematics, computer science, or a related discipline a strong background in computational mathematics, computer algebra, or mathematical
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science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and entrepreneurship
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understanding with language-based reasoning. Process micro-facial expression data more efficiently in computer vision and vision language models. Create a language-guided representation for subtle facial motion