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part of the research team to develop software platforms for supporting multi-user AR/VR applications. Key Responsibilities Participate in the research project with Principal Investigator (PI), Co-PI and
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, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities
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intermediate language. Mechanization. We plan to mechanize the formal framework using state-of-the-art theorem provers such as Coq or Isabelle/HOL. Proof Automation. We plan to develop formal methods
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project deliverables are met. Any other ad-hoc duties assigned by Supervisor. Job Requirements PhD in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or related disciplines. Strong
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Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. Familiarity with the following areas is
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validating objective texture testing methods that can accurately categorize foods within the International Dysphagia Diet Standardisation Initiative (IDDSI) framework, with a specific focus on Level 5 (Minced
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
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across records. Develop a cloud-based verification platform for digital data collection and real-time analytics. Develop and apply non-destructive testing (NDT) methods and data-driven approaches
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A good degree in Mechanical Engineering or a related field. Masters, PhD and/or relevant professional certifications like registered PE would be advantageous. Deep technical specialist with 10 or more