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, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system
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analysis to advance power conversion solutions for renewable energy systems. Review grid codes and standards, and evaluate compliance of existing or proposed converter solutions. Prepare technical reports
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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-modal datasets (e.g., biological, imaging, environmental, or clinical data). Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with machine learning frameworks (e.g
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, or microbiome analysis is advantageous. Proven record of publications in microbiology, biotechnology, or related applied sciences. Proficiency in relevant laboratory techniques (e.g., microbial culture, imaging
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to advance power conversion solutions for renewable energy systems. Review grid codes and standards, and evaluate compliance of existing or proposed converter solutions. Prepare technical reports
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techniques such as CRISPR/Cas9 gene editing, flow cytometry, RNA sequencing, and imaging technologies. Analyze and interpret experimental data using bioinformatics/statistical tools where appropriate
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detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv
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simulations, particularly Monte Carlo simulations and molecular dynamics simulations. Ability to code and run simulations on supercomputers. The College of Science seeks a diverse and inclusive workforce and is
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outcomes using both imaging and molecular biology methods including confocal microscopy and RNAscope Design and conduct any downstream, secondary assays for hit validation and lead optimization. Work with