244 web-programmer-developer-"https:"-"https:"-"https:"-"UCL"-"UCL" Fellowship positions in Singapore
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clinical needs through the development of innovative disruptive health technologies and bring them from the bench to the bedside, thus benefitting patients and society. We are seeking a Research Fellow with
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research experience, as well as a demonstrated capability to achieve research excellence and develop research programmes and funding proposals, through in-depth knowledge, skills and expertise. Requirements
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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Develop and optimize multimodal LLM/MLLMs for downstream tasks (adaptation
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manuscripts. Contribute substantially to grant development, particularly NMRC and other national or international funding schemes, through study design, analytics planning, and generation of compelling
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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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Responsibilities Develop and implement Python‑based AI/ML models (e.g. LSTM or time‑series models) to predict long‑term properties of bioactive materials. Conduct independent testing on restorative and bioactive
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Key Phenotypic Definition and Evaluation, including molecular and biochemical bioassays Characterization of Genetic Control Cultivar and Lines Development Integration of Genomic Data into Cultivation
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international team that combines theoretical and experimental perspectives to jointly develop new approaches and paths for QKD testing and evaluation. The team includes experts from QKD, quantum optics, quantum
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for the position of Research Fellow to join our team and contribute to our research in advanced 2D TMDC material. As a Research Fellow, you will contribute to the development, integration, and characterization of 2D
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and development of next-generation pipeline inspection and repair robotic systems, covering mechanical design innovation, perception and navigation capabilities, and AI-driven defect detection