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Responsibilities Develop and implement Python‑based AI/ML models (e.g. LSTM or time‑series models) to predict long‑term properties of bioactive materials. Conduct independent testing on restorative and bioactive
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tools using modern statistical and data science approaches, and take a substantive role in the development of peer-reviewed scientific manuscripts, with opportunities for lead or co-authorship depending
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manuscripts. Contribute substantially to grant development, particularly NMRC and other national or international funding schemes, through study design, analytics planning, and generation of compelling
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compiling, result analysis etc. Perform research-related administrative tasks and assist in day-to-day management of laboratory. [For Research Fellow] must be able to train lab members, write manuscripts and
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research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research
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Key Phenotypic Definition and Evaluation, including molecular and biochemical bioassays Characterization of Genetic Control Cultivar and Lines Development Integration of Genomic Data into Cultivation
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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international team that combines theoretical and experimental perspectives to jointly develop new approaches and paths for QKD testing and evaluation. The team includes experts from QKD, quantum optics, quantum
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for the position of Research Fellow to join our team and contribute to our research in advanced 2D TMDC material. As a Research Fellow, you will contribute to the development, integration, and characterization of 2D
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and development of next-generation pipeline inspection and repair robotic systems, covering mechanical design innovation, perception and navigation capabilities, and AI-driven defect detection