43 python-"Multiple"-"NTNU---Norwegian-University-of-Science-and-Technology" positions in Singapore
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backup operations on multiple File Systems. Enthusiasm for problem-solving and able to work in a fast-paced environment. Strong interpersonal skills with the ability to communicate effectively. Able
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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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Engineering, or a related discipline. Proficiency in Java and/or Python programming. Familiarity with software development tools and platforms (e.g., IDEs, cloud environments etc). Demonstrated ability
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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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. Technical Skills • Deep understanding of enterprise data architecture, system integration, and Single Source of Truth (SSOT) and Multiple Versions of Truth (MVOT) concepts. • Experience with Automation
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one statistical software (e.g., R, Stata, SPSS, Python) Expertise in quantitative analysis, with preferred skills in Quasi-experimental evaluation techniques (e.g., Difference-in-difference, PSM) Social
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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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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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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