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Python library for data conversion, parsing and wrangling; tool and web service interoperability; and scala-ble dataflow orchestration. Work tasks will include development/documentation and maintenance
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, or a closely related field. Proficiency in analysing large climate and environmental datasets using statistical or programming tools (e.g., Python, R, MATLAB). Capability of both managing research
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Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Desired: Familiarity with statistical and machine learning techniques. Knowledge about molecular
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estimators, or machine learning) or other advanced statistical modelling. Advanced programming skills in Stata, R, Python or a similar software. Strong academic background with publications in international
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if applicants have completed courses that cover these topics during their studies Good programming skills (for example Python, Java or JavaScript) and software engineering practices is a requirement. Familiarity
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during their studies Good programming skills (for example Python, Java or JavaScript) and software engineering practices is a requirement. Familiarity with real-world programming language specifications
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of supervisors that covers both academic pursuits. Primary tools are the programming language Python to exploit its advanced deep learning toolboxes (e.g., Keras, TensorFlow, and PyTorch), alongside
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skills in one or more languages (e.g., Python, MATLAB, Fortran, C++) and must demonstrate their proficiency. Strong analytical skills and capabilities in data processing and mathematical modelling is a
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deadline. It is a condition of employment that the master's degree has been awarded. Applicants must have strong programming skills in one or more languages (e.g., Python, MATLAB, Fortran, C++) and must
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., Python, MATLAB, R, C++, FORTRAN) is required Ability to actively communicate and co-operate within a larger research team is required. Experience with LINUX environments and analysing large datasets from