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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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; Domain knowledge in ATM is highly advantageous. Strong research contributions, evidenced by publications in SCI Q1 journals and peer-reviewed conferences. Proficiency in programming (Python, C++, MATLAB
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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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flagship microbiome–brain health initiative at the Dementia Research Centre. Handles and integrates data across multiple domains: microbiome, neuroimaging, retinal imaging, cognitive testing, and blood
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Python for stimulus presentation and data analysis Conduct statistical analysis using software such as SPSS, R or Python to support data interpretation and research findings Collaborate with and provide
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multiple Asian cohorts. The position focuses on data harmonisation, statistical genetics, and developing and validating machine learning cancer risk models. Key Responsibilities: Data harmonization
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. Responsibilities : Data Analysis, Reporting & Management Consolidate and process large datasets from multiple sources (e.g. internships, student placements, events and career programmes), ensuring data integrity and
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physics, and quantum error mitigation. Good programming skills in Python. Familiarity with PyTorch or tensorflow will be a bonus. Proficiency of programming skill with quantum machine learning architectures