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design and identifying emerging methodologies. Processing and analyzing large experimental datasets using scientific computing tools (Python/Matlab). Maintaining laboratory instrumentation. Preparing
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magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image analysis
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/38782 Job Number SE166824 Position Information Department or Unit Name Fowler School
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programming languages (e.g., Python, shell scripting) or statistical analysis software (e.g., SPSS, SAS, R, MATLAB) is preferred. 6. Basic knowledge of statistics is preferred. 7. Electrical, mechanical
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to paired cortical?spinal stimulation and by building a researcher-friendly GUI around our existing Python library hbMEP. Responsibilities Developing analysis pipelines for electrophysiological data from rats
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independent research to a high level. A working knowledge of R. and/or Python programming is desirable. The candidate will be based in the laboratory space in the School of Pharmacy, UCC, working with Professor
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to learn are essential. Solid programming skills in Python and/or R; experience with reproducible workflows (Git, Snakemake/Nextflow, containers) is a plus. Interest in cancer biology, tumor microenvironment
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is desirable. Basic understanding of embedded systems and processor architectures. Strong programming skills (C/C++, Python; hardware description languages such as HLS or VHDL are an advantage
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of LLMs is desirable. Basic understanding of embedded systems. Familiarity with fault detection, system reliability, or troubleshooting techniques. Strong programming skills (C/C++, Python; hardware
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biology, bioinformatics, genomics, statistics, physics, or a related quantitative field Demonstrated ability to analyse large-scale sequencing data using R, Python or equivalent A self-motivated team player