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clusters). At least one short sample of published work, preferably in English. Please indicate the name and contact details of at least 2 referees in your application. The closing date for applications is 30
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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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interpersonal skills. Good English writing and communication skills for research purposes Excellent teamwork awareness. Productive, hard-working and dedicate to the completion of any task assigned We regret
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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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English for research purposes Good communication and presentation skills, fluency in multiple languages is a plus We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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learning or large language models. Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models
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, or distributed AI systems. Familiarity with biometric authentication systems, especially involving multimodal signals such as face, voice, and fingerprint recognition. Proficient in programming languages and
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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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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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communication skills and fluent in spoken and written English for research work We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU