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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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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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steel or aluminium structures Welding, fabrication, or construction automation Experimental structural testing and instrumentation Numerical modelling and simulation AI/data-driven methods for engineering
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Master’s or PhD degree will be advantageous. Strong interest and passion in Cyber Security. Able to grasp new technology concepts quickly, and combine contrarian, out-of-the-box thinking when performing
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related field. Possessing a Master’s or PhD degree will be advantageous Hands-on experience with next-generation sequencing technologies, such as Illumina or Oxford Nanopore sequencing platforms including
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Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., WAMIT, ANSYS AQWA, OrcaFlex) and finite element analysis
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Master’s or PhD degree in relevant areas will be advantageous. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model
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. Possessing a Master's or PhD degree will be advantageous Experience and Knowledge of operating HPLC, MALDI-TOF and Q-TOF Mass spectrometry for protein sequencing, carbohydrate/Sugar analysis, and polyphenol
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innovation projects, and industry collaborations that bridge education and enterprise. The incumbent will apply design thinking, systems thinking, and future-oriented methods to guide multidisciplinary teams
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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