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proficient in Python and at least one deep learning framework (PyTorch/TensorFlow/JAX); (b) be familiar with distributed training frameworks such as Hugging Face Transformers, DeepSpeed and Megatron-LM; (c
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proficiency in Python crawler frameworks (such as Scrapy, Selenium, etc.), and familiarity with distributed crawler architectures (such as Scrapy-Redis); (c) be able to manage IP proxy pools, including user
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Science; Software Engineering; Systems & Networks; Extended Reality (XR), AR/VR, and Immersive Technologies Security / Digital forensics; Algorithms. Supervise final year projects and capstone projects
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computing such as large language models, distributed computing, and Data science. Applicants with experience in C/C++/Golang or KDB/Q or DDD/Eventsourcing/CQRS are strongly preferred. Applicants are invited
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data science, statistics, psychology, public health, social sciences, or related disciplines. Proficiency in statistical analysis, data mining, predictive modeling, and machine learning algorithms
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, mechanobiology, biophysics, bio-inspired or bio-mimicking devices and algorithms; or advanced technologies such as those for advanced bio-manufacturing, diagnostics and advanced therapeutics, in relation
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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) lead market analysis, requirements gathering, and conceptual design; (b) optimise electromagnetic design of motor through simulations; (c) develop control algorithms and models; (d) guide
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publication track record. The appointee will work on projects of ASIAR at the Institute with ASIAR’s team of postdocs and research assistants. He/She will work under Prof. David A. Palmer’s direct supervision
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) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d) publish research findings in peer-reviewed journals and