27 programming-"https:"-"https:"-"https:"-"https:"-"https:" positions at Singapore Institute of Technology
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sets that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project ( https://www.nparks.gov.sg/Cuge/Programmes
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until the position is filled. All applications must be submitted through the SIT website ( https://careers.singaporetech.edu.sg/en/job/ ). Eligible interested applicants must submit their CVs and
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in the areas of digital tools, programming, AR/VR, robotics, etc. Have a degree in programming, computer science, computer engineering Experince and interest in marine and offshore domain will be advantageous. Apply Now Job Alerts Link
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related application domains is advantageous. Good programming skills in Python or other relevant programming languages. Experience in data analysis, modelling, machine learning, optimisation, software
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, electronics, instrumentation, or medical device-related development. Hands-on experience in programming, preferably in Python, MATLAB, C/C++, or similar environments. Experience in experimental work, data
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, Environmental Engineering, Maritime Engineering, or a related discipline. • Good programming skills in Python. • Experience in data analysis, scientific computing, modelling, or software development
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rigorously. Develop, implement, and optimize signal and image processing algorithms using appropriate programming environments and computational tools. Contribute to the definition of system
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media. 2. Publish research findings in top-tier conferences and journals, and present research outcomes. 3. Maintain and update research documentation, code, and the Python programming platform. 4
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research background in one or more of: Computer Vision Machine Learning Deep Learning Video Understanding Multimodal AI Excellent programming skills in Python. Hands-on experience with: PyTorch Hugging
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Proficiency in programming languages (e.g., Python and C++), and familiarity with AI frameworks (e.g., PyTorch). Familiarity with multimodal AI frameworks, large language models (LLMs), or vision-language