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Field
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proficiency in the AI application R&D lifecycle, and clear grasp of the interactive mechanisms between data and AI; (b) hands-on experience in the intersection of data assets and AI applications (focus
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This role will provide support to an ongoing MRC project grant characterising the molecular pharmacology of the P2Y2 receptor (P2Y2 R). The P2Y2 R is a Class A GPCR physiologically activated by
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participant recruitment Supervise Research Assistants and part-time student assistants in administering psychoeducational assessments Develop and execute quantitative data analysis pipelines (Mplus, R) Prepare
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data analysis capability, including experience with statistical software such as R or Python. Soft Skills: Strong academic writing, teamwork, and communication skills. Track Record: Evidence of academic
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knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and
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modelling, or machine learning). Proficiency in statistical programming (e.g., R, Python, Stan, or similar). Experience developing and managing longitudinal studies. Evidence of contributions towards
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proficiency in the AI application R&D lifecycle, and clear grasp of the interactive mechanisms between data and AI; (b) hands-on experience in the intersection of data assets and AI applications (focus
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1-year fellowship in Shoebill Conservation Genetics with support for a further 3-year PhD fellowship
about bioinformatics, including R and shell programing, and analyzing data using population genetics tools and theories. The candidate should have good self-organization, be solution-oriented, and have
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collaboration with the Principal Investigators. More specifically, the individual will: ● Design, write, and fine-tune code in the R programming language for data cleaning and data analysis; ● Create data
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structures at the atomic level, conducting failure analysis, selecting materials for new products, and optimizing manufacturing processes Responsibilities R&D: Lead material selection, development, and