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discovery and energy applications. The role involves investigating the electronic structure and surface properties of energy-related materials, with a focus on catalytic interfaces, adsorption processes, and
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processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian
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and maintenance of equipment. Job Requirements Have relevant competence in the areas of science and engineering Have a degree in STEM discipline. Possessing a Master’s or PhD degree will be advantageous
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as part of a team. Have a strong written and oral command of the English language. Application Process To apply for this position, please combine the following documents in 1 PDF and attach it under
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) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena
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aspects of computational modelling, brain-computer interface technologies as well as within NUS focusing on design and application from the lens of landscape architecture. Key Responsibilities: Assist
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platforms for diabetes, regenerative medicine and extracellular vesicles research. Responsibilities include microfluidics engineering, cell culture, processing biofluid (e.g. blood) samples and data analysis
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users under the concept of cooling demand response will be explored. On the DCS side, real-time cooling prices will be determined based on system design, operation, and user cooling demands to maximize
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modeling, process design, process optimization, and machine learning in energy, environmental, and chemical processes. During his research career, Dr. Nguyen has authored more than 20 scientific papers, with
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PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including