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Field
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acquisition, software development, and day-to-day technical execution of the project. Key Responsibilities Assist in the development, implementation, and testing of signal processing and imaging algorithms
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, optimisation and algorithm-aware content design. International teaching or industry experience. Why Join Us? At the University of Plymouth, you'll become part of a creative and research-active community
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initially fixed-term for 1 year, with the possibility of being made permanent by mutual agreement. Your future tasks: In this role, you will: implement algorithmic approaches and machine learning models
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) until 31 March 2027 (with the possibility of an extension). The appointed candidate will support advanced research initiatives focusing on systems design, distributed systems, and algorithmic optimisation
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astronomical data analysis activities and data validation, a good practical knowledge of scientific algorithm development and a PhD degree in a numerate discipline (preferably Astronomy, Physics
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research and implementation. You will also develop novel algorithms using state-of-the-art computer vision and machine learning techniques (segmentation, multimodal AI, foundation models, agentic frameworks
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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designs for incorporation into Test Chips in SiGe or III-V materials. Assist research into signal processing strategies and algorithms, to support the emerging Test Chips. Design and create prototype
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-structures. Develop numerical algorithms and computer codes that can be used to model nonlinear optical effects pertaining to light-matter interaction. Validate the theoretical models and software tools by
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. This longitudinal project investigates the implementation of AI-empowered chronic disease management systems in hospitals. It examines human-AI collaboration and the "boundaries of work" between humans and algorithms