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the application of machine learning and artificial intelligence. By using neural networks developed in Python, the project aims to generate robust and generalisable models for scaffold design. Industrial
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software engineering, multimedia technologies including VR, audio or image processing, machine learning and AI, computer vision, and robotics. The successful candidates will play key roles in the development
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. Quantitative, computational, or mixed-method approaches are particularly encouraged, including but not limited to geospatial analysis, machine learning, predictive modelling, and causal inference techniques
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’ pedagogic methods that enhance the student’s learning. The teaching emphasis in the department is on the development of relevant skills using industry standard computer applications and techniques
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for research, AI, and machine learning applications, accelerating medical innovation while ensuring privacy and ethical standards. https://ihi-search.eu/ About the Role SEARCH (Synthetic hEalthcare dAta
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with carrying out original research to develop new machine learning approaches to link different scale geochemical-mineralogical-petrophysical datasets within a 4D geological framework. An initial focus
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the development of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning
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of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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Hospital. This role requires excellent communication and interpersonal skills, computer literacy, organisation and an awareness of time management. The Research Assistant is required to manage data in
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, and machine-learning approaches to astrophysical problems. The post-holder will work with other academic staff, researchers, and students in the lively, collaborative, and international research