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well as experience in applying deep learning and machine learning algorithms for pathogen identification, drug target prediction, antimicrobial drug discovery, and/or protein-protein interaction studies. They should
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project - “Theory and algorithms for multi-stage stochastic optimization and variational inequalities”. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree or an
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hepatocellular carcinoma datasets; (c) create innovative algorithms/systems based on the hepatocellular carcinoma-MLLM for precision diagnosis, personalised treatment recommendation, survival prediction and real
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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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pipelines, Mixed Reality Toolkit customization, and performance tuning under hardware constraints; collaborating on robot motion planning, path optimization, and sensor data processing algorithms
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-modal fusion techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d
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algorithms. Strong programming skills in Python and/or R. Experience in analyzing both quantitative and qualitative research data. Experience in statistical consulting, dashboard development, and data
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qualification; (b) strong background in extensive model optimisation on machine learning algorithm; and (c) good communication skill in English. Applicants are invited to contact Prof. Kay Chen Tan
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- “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) have experience