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Field
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Requirements: PhD in microbiology, bioinformatics, computational biology or a related field. Experience on python, linux and HPC. A strong interest in interdisciplinary research. Excellent interpersonal skills
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packages, data pipelines, and automation tools using Python, R, SQL, SAS, and other appropriate technologies. Apply modern software engineering practices, including Git-based version control, modular design
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knowledge about machine learning. Programming skills in Python. Preference factors: Experience in the development and application of machine learning algorithms to engineering problems; - Proven experience
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are particularly keen to hear from those with expertise in one or more of the following sub-disciplines: - Computer Programming (C++, C#, python); - Cybersecurity; - Artificial Intelligence, Machine Learning and
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analyses. Develop reproducible bioinformatics pipelines and computational tools using Python and/or R. Work closely with Dr. Ren and experimental and computational collaborators to translate computational
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skills, including statistical analysis using R, Python, SPSS, Stata, or equivalent software. • Experience with computational social science methods, including NLP, machine learning, LLMs, social media
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, and be highly proficient in Python, Large-Language Models and Natural Language Processing. Qualifications • PhD in Computer Science, especially in the context of NLP. • Coding
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techniques e.g. Gaussian/Amber/Schrödinger/python/bash For more information, please contact Asst Prof Shao, Huiling ([email protected] ). We regret to inform that only shortlisted candidates will be
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to this classification, as directed Job Requirements: A Master’s degree in computer science, data science, information science, digital humanities Experience with social science/humanities/arts research methods Python
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computer engineering, computational methods, global navigation satellite systems (GNSS), estimation theory, and environmental modeling. Implement software algorithms in C++ and Python in a collaborative