47 component-labeling-cuda Fellowship research jobs at Nanyang Technological University
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research specified in a sponsored project. The role will focus on additive manufacturing of metallic components and conduct detailed microstructural and mechanical property studies on the printed parts. Key
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outperforms traditional compute platforms. We invite applicants to join us as a Research Fellow or Senior Researcher (full-time). You will be part of the Continental-NTU Corporate Lab research team. Key
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outperforms traditional compute platforms. We invite applicants to join us as a Research Fellow (full-time). You will be part of the Continental-NTU Corporate Lab research team. Key Responsibilities: Conduct
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. For more details, please view https://www.ntu.edu.sg/ase . This position is part of a new project hosted at the Asian School of the Environment (ASE) and the Earth Observatory of Singapore (EOS) to push
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, humanities, and the social sciences to address key issues of the environment and sustainability. For more details, please view https://www.ntu.edu.sg/ase . This position is part of a new project hosted at
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Solution Centre SAS-C, HUJ, NUS, A*STAR and industrial partners. We are seeking a dedicated and innovative researcher to join our translational research team at the Fraunhofer-NTU Research Centre as part of
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management. The most important factor for a learning based method to find optimal solution is to have sufficient data. However, publicly available data is often not sufficient. Data argumentation techniques
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computing platforms outperforms traditional compute platforms. We invite applicants to join us as a Research Fellow or Senior Researcher (full-time). You will be part of the Continental-NTU Corporate Lab
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conduct a complex medium-throughput assay using 3D skin models, as well as design and implement methods for validating screening hits. The work is part of a high-stakes project that looks to develop a new
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to develop and optimize scalable experimental protocols across diverse material families. This role is part of a multidisciplinary team integrating materials chemistry, machine learning, and autonomous