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metrics (OEE, MTTF, MTTR). Programming and analytics experience (e.g. Python, MATLAB). Experience engaging with industrial stakeholders and managing site-based research activities & strong organisational
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1. Working knowledge of mixed-method research techniques. 2. Experience conducting research with vulnerable populations. 3. Experience with data analysis using Python, R, or similar software. 4
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experience in Python, R, Java, C, C++ or related language to process real-time experimental data Statistical analysis Demonstrated understanding of operational requirements for a successful research project
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or equivalent Skills/Qualifications Communication, Organisational skills, Research skills, Crispr Cas9 to E. coli, Python, R, Java, C, C++, Statistical analysis, Experience in Biosensors, Experience in 3D
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science, physics, chemistry, or equivalent experience. Demonstrated experience with coding (MATLAB, Perl, Python, Jupyter, C, etc.) and quantum chemistry software (VASP, CP2K, quantum espresso, wien2k
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Python programming is desirable. The candidate will be based in the laboratory space in the School of Pharmacy, UCC, working with Professor Abina Crean and Dr. Sonja Vucen. Within our group we strive
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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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or equivalent) Strong programming proficiency in Python Experience with deep learning frameworks such as PyTorch and/or TensorFlow Experience using data science libraries (e.g. NumPy, Pandas, SciPy, scikit-learn
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- statistical techniques used in spatial data analysis - scientific programming, e.g. Matlab, R, Python or Julia - designing and/or conducting field measurement campaigns in atmospheric
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Information Systems are encouraged to apply. Tangible experience in the teaching of programming languages, eg: Python, is an advantage. Candidates should set out how their research may contribute to one or more