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the machines efficiently and safely. Conduct maintenance on the above machines, liaising with vendor engineers and trouble-shooting regular problems and issues. A strong crystallographic knowledge of single
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chemical engineering, mechanical engineering, materials science and engineering, or a related field. Knowledge of any of the following will be advantageous: rheology, physical characterisation
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record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models. Possess sufficient specialist knowledge, research
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related programmes and have relevant competence in the areas of VR/AR/MR and AI. Knowledge and experience in optics will be advantageous. Able to build and maintain strong working relationships with people
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Engineering, Pharmaceutical Engineering. Possessing a PhD degree will be advantageous. Knowledge of functional properties of protein, and food hydrocolloids will be bonus. Able to communicate with the teammates
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of gamma-ray or neutron measurement techniques Knowledge of gamma-ray spectroscopy using LaBr3(Ce), GAGG(Ce), or other modern scintillators Experience with Digital Pulse Processing for nuclear radiation
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electronic engineering industry and preferably is familiar with smart electrical power grids. • Prior knowledge on solar photovoltaic and energy storage systems would be an advantage. • Experience in research
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relevant experience in the electrical engineering industry and preferably is familiar with electrical power distribution system. • Prior knowledge on power system condition monitoring would be an advantage
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modeling and simulation tools to perform tests on the candidates designs and perform trade-off as well as evaluation of the different designs. You should have deep knowledge of aircraft power and propulsion
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film. • Knowledge and interest in urban farming will be advantageous and willingness to work on composts from the waste recycler into soiled based growth unit for vertical farm