115 programming-language-"St"-"St" Fellowship positions at National University of Singapore
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Intelligence, or a related discipline from a strong institution. Skills: - Proficient in programming languages such as Python, with experience in using AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn
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can conduct research independently • Fluent in English and able to present research to both researchers and the general public • Strong publication record • Experience in conducting wind/water
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CIL’s expansion of its programme on international environmental law with an emphasis on climate change law and policy. The objective of the position is to engage in research on emerging issues related
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university and country, profession, and the international academic community; Proficiency in English is required. Application Procedures Interested applicants are invited to apply online via the NUS Career
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colleagues, and fluency in English. Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in project management and
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surveillance and national preparedness for effective disease outbreak management programme. Qualifications · PhD in Medical/Clinical Laboratory Science, Biomedical Sciences, Virology or equivalent degree
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are seeking for a full-time Postdoctoral Fellow to work on projects in the area of household finance, investment, and financial literacy. The project is part of a large 5-year research program (2024-2028) which
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capacity around Water and Sanitation in low- and middle-income settings across Southeast Asia. This position offers a unique opportunity to contribute to field-based public health research and program
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. Strong oral and written communication skills in English. • Preferred Experience: 1. Expertise in high-throughput computation and data management. 2. Development of interatomic potentials based
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of motor neuron degeneration. The successful candidate will be tasked with designing and managing a comprehensive research programme aimed at elucidating the mechanisms contributing to sporadic ALS