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Field
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-performance computing, machine learning models (eg. LLM), probabilistic models for data, novel techniques for making measurements, visualization tools, and community-oriented foundational software tools. Please
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methods Experience analysing RNAseq and/or high throughput imaging data Experience handling human post-mortem tissue Experience writing/using computer code Experience supervising postgraduate students and
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The Electrical and Computer Engineering (ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Fellow to join our team for a project
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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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) 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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may come from a diversity of disciplinary backgrounds, including but not limited to veterinary medicine, epidemiology, ecology, biology, computer/data science, economics and other social/behavioral
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Design (2 ) Computer, Information, and Data Sciences (16 ) Earth and Geosciences (21 ) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (45
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The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
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. Candidates should either hold a PhD in Computer Science, Information Technology, or a closely related field OR hold a PhD in any field in combination with strong computer programming and data visualization
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have exceptional resources to facilitate research including access to administrative, research, and computer support staff. Required Qualifications* PhD degree or equivalent in epidemiology, gerontology