949 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:" positions in Singapore
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for: Supporting lab teaching sessions throughout the academic year, including part-time programs (after office hours). Supervise undergraduates and postgraduates on conduct of risk assessments, safety training
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: - Proficient in programming languages such as Python, with experience in using AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiar with high-performance computing (HPC) environments and
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), to coordinate and support the University’s Blockchain initiatives, activities and programmes. The Research Associate will be part of the NTU's Experimental Economics group in the Economics Programme at the School
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the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred). Skill and
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bookings, develop new business opportunities, and build strong client relationships to maximise NEC's revenue and occupancy. Key Responsibilities: Business Development Establish and execute sales plan
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. Programming & Software Development: Proficiency in Python, PyTorch, JAX, or other ML frameworks Computing: Some experience with large-scale datasets, parallel computing, and GPUs/TPUs. Algorithm Development
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. To support the new research project titled: Singapore Parkinson's Disease Programme (SPARKLE) - Theme 5: Neurotech
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, cultural programs and services, these hubs are becoming vital spaces for community engagement and wellbeing in dense urban settings. This role offers a rare opportunity to work across public health
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, multidisciplinary research programs Application Documents To facilitate the application process, Candidates are invited to submit the following: Cover Letter Describe your background, expertise, and alignment with
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University of Singapore invites applications for Research Fellow / Research Associate to be involved in The Integrated Women’s Health Program (IWHP) longitudinal cohort and the MUSE Randomized Control Trial