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preferably) Strong skills in turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and
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turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and the ability to analysis and
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preferably) Strong skills in turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and
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closely related disciplines. Possessing a PhD degree will be advantageous. Analytical chemistry (experience with chromatographic methods, particularly LC and hyphenated methods would be advantageous) Strong
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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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Chemistry, Biotechnology, Pharmaceutical Engineering or closely related disciplines. Possessing a PhD degree will be advantageous. Analytical chemistry (experience with chromatographic methods, particularly
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is to liaise with all relevant internal and external stakeholders to ensure project deliverables are met. Any other adhoc duties as assigned by Supervisor. Job Requirements Master/PhD in Naval
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Fellow) PhD in Computer Science or a related field (Research Engineer) Bachelor/Master degree in Computer Science or a related field Proven ability to conduct independent research with a relevant
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architecture design. Excellent communication and leadership skills, with prior experience in mentoring students or leading small teams. PhD degree in Computer Science, Natural Language Processing (NLP), or a
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PhD* (or equivalent research experience) in a relevant subject (only for Research Fellow position). Candidates with a non-healthcare degree are welcome to apply. Familiarity with image data analysis