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learning model to realize performance optimization afterward. Key Responsibilities: Design and develop high-throughput synthesis platform for realizing rapid and smooth synthesis of disordered crystalline
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fundamental understanding and practical performance of high-energy cell chemistries for energy storage systems. This role directly supports NTU’s mission to lead sustainable energy solutions for global impact
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(Postdoctoral Associate category) $2,000 in discretionary funds with opportunity to apply for additional internal funds Access to shared research facilities and high-performance computing Protected time and
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Learning. Experience with the deep learning ecosystem and high-performance computing infrastructures. Experience designing and conducting experiments with human participants is a strong plus. Experience in
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7 Jul 2026 Job Information Organisation/Company TAIPEI MEDICAL UNIVERSITY (TMU) Research Field Computer science Medical sciences Physics Psychological sciences Researcher Profile Recognised
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) Application Deadline 1 Aug 2026 - 00:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Biologist in the Gillani Lab in Computational Pediatric Cancer Research (https://gillanilab.dana-farber.org/). The Postdoctoral Computational Biologist will work on the analysis of genomic, transcriptomic
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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly
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/industry research and play an important role in impacting patients’ lives. For more details, please view https://dr.ntu.edu.sg/entities/person/Lynn-Yap The selected candidate will perform a variety of
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projects include detecting API misuse, analyzing program performance, measuring energy consumption, detecting security vulnerabilities, supporting library migrations, and leveraging large language models