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predictive models using multimodal data (neuroimaging, clinical, biomarker, and demographic data). Support the design and implementation of computational pipelines and statistical methods for data
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: Foundation Models & Next-Generation Methods As the field increasingly pivots toward foundation models, efficiency has become a central challenge. Addressing this challenge requires approaches that go beyond
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experiments with the aim of producing superior, cost-effective, and user-friendly medical diagnostic tests. - Develop and validate new technologies and methods to achieve a translational product
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Computer Science, Artificial Intelligence, Data Science, Automation, Electronic Engineering, Economics, Human Resources Management, or a related field. Experience with general methods in machine learning, such as
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research papers, and assisting in the preparation of research proposals. Mentor junior PhD students, master students, undergraduate students, and potential high school students for their research projects
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opportunities for upcoming engineers in a very fast-growing sector of smart, efficient and human-centered buildings, an area of great importance to the society. Qualifications • PhD in Building Science related
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. Integrate effective wave-based computational techniques to inverse design next generation of acoustic metamaterial for ultrasound imaging system. 3. Develop experimental methods to validate the responses
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to publications, reports, and technology transition activities. Requirements PhD in Electrical Engineering, Materials Science, Applied Physics, or a related discipline. Prior experience in at least one of the
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possess (1) at least a Second Upper Class Honours Degree of Bachelor of Science, or equivalent qualifications, and (2) a PhD degree within a relevant scientific field from a reputable university, including
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models (e.g., LLMs, multimodal systems) that support learning, assessment, and teaching practice. Empirical Education Research – Conduct controlled experimental studies (e.g. mixed-methods), including