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Field
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of recurring processes. Respond to consulting requests requiring expertise in statistical methodologies and procedures. Provide statistical contributions to data mining operations and algorithm development
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This post forms part of a research project in the area of Computer Graphics and Rendering, focusing on the development of advanced AI-driven methods for photorealistic material appearance modelling
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About the role We are seeking a Research Assistant to help contribute further development of the BathMat—an inflatable medical device designed to assist in the safe repositioning of ICU patients
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learning algorithms and creating predictive models. This role will contribute to evidence-based processes and procedures for program quality review and assessment of outcomes data as well as develop
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-board Payload Signal and Data Processing algorithms and techniques for RF payloads and instruments in close collaboration with TEC-ED; and Time and frequency references, modelling, design tools
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the AI algorithms state of the art for crater detection. generate an overview of available meta data in coordination with the game developers. identify potential use cases in the science community and
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visual inspection. The research will address several challenges: Complex Surfaces: Developing robust algorithms (leveraging Convolutional Neural Networks and Transformers) capable of identifying tiny
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. Modeling dynamical systems Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods
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-time employment. The successful candidate will conduct research and development in hardware design, including the development of custom hardware and embedded software frameworks, benchmarking and
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development Signal processing and control algorithm implementation Communication protocol design and optimization Cross-disciplinary teamwork Specific Requirements Collaboration with multidisciplinary teams