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data integration. Knowledge of python and R is essential. This is a full time (35 hours per week), and you will be offered a fixed term contract until 30 June 2027. About You To be successful in
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; Domain knowledge in ATM is highly advantageous. Strong research contributions, evidenced by publications in SCI Q1 journals and peer-reviewed conferences. Proficiency in programming (Python, C++, MATLAB
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) and Trusted Research Environments (TREs), SQL and Python. You will be based within the Faculty of Health and Life Sciences reporting to the CHIL Programme Manager and will work alongside a muti
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pipelines for models using the necessary programming languages (primarily R, Python, SQL). • Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices
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Computer Science or Statistics or closely related degree AND experience in Big Data Analytics or Data Science with proficiency in Python. Minimum: Bachelor in Statistics or closely related degree AND 5 or more years
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will have a background in computer/data science, and specifically have computer programming experience, working with programming languages such as Python or R, in order to develop and maintain data
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Python. Proven experience in Natural Language Processing and Language Models research (e.g. publications, projects) is preferred. Applicants are invited to contact Prof. Chersoni Emmanuele at telephone
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knowledge sharing Expected Salary: $20/hr Required Qualifications: Proficient in Python programming; knowledge of R is a plus. Understanding of machine learning and deep learning concepts, with proficiency in
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of professionals. Duties to include: Integrate and utilize AI APIs (e.g., OpenAI, HuggingFace) to perform tasks such as summarization, classification, or generation of content through Python-based automation
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candidate will have knowledge in programming, preferably in Python, experience working in a Unix environment. They will be motivated, organized, and will work under supervision to help the investigator