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August 2024. In this recruiting cycle, we are looking for candidates in all areas, including Organisational Behaviour, Human Resource Management, Motivation or Leadership, with PhDs in the related
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background in applied empirical methods, coupled with a keen interest in pursuing a quantitative marketing PhD degree with a focus on machine learning or structural modelling. Responsibilities: The successful
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have: PhD degree in relevant field such as Materials Science, Biomedical Engineering, or a related discipline Expertise in nanomaterials, thrombosis biology, and assay techniques Hands-on experience in
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have: PhD degree in relevant field such as Materials Science, Biomedical Engineering, or a related discipline Expertise in nanomaterials, thrombosis biology, and assay techniques Hands-on experience in
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improve lives for a sustainable world. Its faculty consists of accomplished scholars, educators, and experienced policy practitioners. The school offers several Master's degree programmes, a small PhD
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available immediately in Prof Chng Wee Joo’s groups for a highly motivated PhD graduate with experience in Bioinformatics (computational genomics). The focus of the lab is on deciphering transcriptional and
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, with the possibility of extension. PhD holders with no experience are welcome to apply. Ideal candidates will possess expertise in microbial engineering and the development of cell factories
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learning, multi-armed bandits). Each position is expected to last from one to two years. The start date is negotiable. The candidate is expected to have a PhD in electrical engineering, computer
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for application of research outcomes; Contribute to knowledge exchange activities with external partners and collaborators; Requirements A PhD in Computer Science, with specialization related to machine learning
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applications. Job Requirements • A PhD degree in a relevant area, e.g., Chemical Engineering, Material Science and Engineering, Chemistry, Electrical Engineering; • Good publication record