205 algorithm-development-"The-University-of-Edinburgh" Fellowship positions at Nanyang Technological University
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development support to the research team for translation of research ideas into concrete lab-scale demonstrators on robotic platforms. Assist in the procurement and management of technical equipment
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Responsibilities: To carry out research and development of predictive AI techniques for antibody and antigen interaction prediction To determine mechanisms of action of biologics (peptides and antibodies) for cancer
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project Supervise a team of 6 to 9 researchers Train young researchers and students Coordinate technical and scientific efforts Job Requirements: The candidate must hold a PhD degree in Experimental Quantum
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to contribute to the development of novel
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next-generation intelligent sensing solutions. Develop systems to perceive, understand, and respond to the physical world. Read and write related academic papers Engage in and facilitate teamwork Assist
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Materials, Bioinspired Materials and Sustainable Materials. The project is on development of cultivated meat to support Singapore’s aspiration of 30 by 30. There are 3 institutions involved in this project
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are expected to develop and contribute domain knowledge, research skills and expertise at the host university while fulfilling the requirements of the CCDS IPF. They will also actively seek out collaborative
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highly motivated Research Fellow to join Associate Professor Xia Kelin's team at the School of Physical and Mathematical Sciences. The project focuses on developing topological data analysis (TDA
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, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based
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. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop 3D vision. Candidates are expected to have a strong background in relevant