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with computer programming using python or related techniques E4 Experience in the characterization of semiconductor materials and/or devices E5 Familiarity/awareness of semiconductor epitaxy
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including RStudio, Jupyter Notebooks, Python, PostgreSQL and containerised services. 10. Manage and maintain the TRE service storage systems running a mixture of Dell PowerScale (Isilon), PowerStore, and
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(MATLAB/Python/R) as a tool for the conduct and analysis of experiments. Information about the Project Our group examines the offline processing of human memory. We integrate a variety of cutting-edge
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, technical models, equipment and techniques relevant to the project/discipline as outlined in the Job Purpose. Knowledge of specialist IT software (eg. Matlab, LabView, or Python). Skills Essential: C1
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data analysis. Skills Essential: C1. Strong programming skills in at least one relevant language (python, R) C2. Life sciences related data analysis skills C3. Ability to manage and progress multiple
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Environments (TREs). Skills Essential: C1 Proficiency in programming languages such as Python or R, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). C2 Ability
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authorities) on geospatial data projects. Desirable: D1 Programming skills in a high-level language e.g. Python. D2 Experience with geospatial Python libraries e.g. GDAL, geopandas, arcpy, pyproj, geemap
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of common programming languages for research computing (e.g. Julia, Python, C, C++, Fortran, R or MATLAB). B3 Knowledge of scientific computing packages, their installation and operation, e.g. LAPACK, OpenMPI
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professional experience in management role(s). A2 Strong knowledge of more than one modern programming language used in research (typically Python, R, C++, Java, Julia, C). A3 Excellent understanding
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in programming using Python, and deep learning frameworks such as TensorFlow and PyTorch. C2 Research creativity and cross-discipline collaborative ability as appropriate. C3 Excellent communication