11 machine-learning "https:" "https:" "https:" "https:" "https:" Fellowship positions at National University of Singapore
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friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description Conduct theoretical research in quantum information and quantum foundations, including quantum non
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, Biostatistics, Statistics, Bioinformatics, Computational Biology, or other AI-related disciplines. Strong foundation in AI, statistical modeling, machine learning, or high-dimensional data analysis. Proficiency
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work environment Learn more about CQT at https://www.cqt.sg/ Job Description A postdoctoral research fellow position on the topic of quantum error correction is available in the group of Associate
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work environment Learn more about CQT at https://www.cqt.sg/ Job Description We have openings for talented early-career scientists who are ready to take up a leadership role in our group and to spearhead
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offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description We are looking for a Research Fellow (RF) to join the team and explore the physics
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modelling and machine learning for large and complex datasets. Have proficiency in Python and/or R for time-series and sensor data analysis. Have an interest in or experience in environmental exposure
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context. • Conduct statistical analyses, longitudinal modelling, or machine learning approaches as appropriate. • Develop documentation, codebooks, or tools to support reproducible research. • Lead
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international work environment Learn more about CQT at https://www.cqt.sg/ Job Description The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers
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, computational biology, bioinformatics, biostatistics, machine learning, or a related discipline. ● Strong background in at least one of infectious disease modelling, phylogenetics, or phylodynamics (background in
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/knowledge graphs, and carbon accounting. The Research Fellow will help develop and lead the CognitionX Lab (https://cognitionx-lab.github.io/ ) with Dr. Jinying Xu, Assistant Professor and Director of