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Field
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-scale astronomical facilities or surveys and with the use of database and web-based systems. Knowledge of Python/Java and object-oriented programming is required, while knowledge of database systems would
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metamaterial design is a plus. Proficiency in programming (e.g., MATLAB, Python, or C++) and relevant simulation software (COMSOL and/or Abaqus). Excellent communication skills and a proven record of
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experiments (e.g. native/Hdx-MS, SPR or FRET). Qualifications: Proficiency in at least one computer language as in C++ and/or Python is required. This project also uses Javascript, REACT, and GTK. Experience in
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the advantages and disadvantages of the various techniques/tools that you recommend and agree a suitable approach for each project. You should have fluency in Python and/or R, but demonstrable use of other
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, ModelBuilder, Python, FME, Javascript, .NET, R. Have a professional and customer focused manner. Work flexibly across School buildings and academic areas. Have the potential to further develop your skills across
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bioinformatics or a related biological sciences discipline with substantial programming experience, especially in R or Python, and a robust background in cancer immunology, spatial-omics, and ex-vivo techniques
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immunohistochemistry, microscopy and live cell imaging. Essential Application Experience in image analysis or bioinformatics analysis. Essential Application Knowledge of programming languages, e.g. Python/R, and the
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(Excel or Power BI) and in at least one data science tool (Python or R) and have prior experience working with other stakeholders to deliver successful learning outcomes. Experience in performance
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or solar-planetary science, with demonstrable expertise in imaging or spectroscopy of auroral emissions. Strong programming skills (e.g., Python or C++) and experience with space-based data analysis
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networks for multimodal image analysis will be essential, as well as expertise in Python and C/C++ for scientific computing, and in ML/DL frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn. A