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As a Software Developer at the SciLifeLab Data Centre, you will develop and maintain national systems for research data, using Python and Kubernetes to build scalable and sustainable solutions. Join
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solid knowledge of electrophysiological signal processing with strong programming skills (Python and/or MATLAB; e.g., MNE-Python, scikit-learn, FieldTrip, EEGLAB) and statistical competence appropriate
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, contributing to the development and maintenance of FlaGs and its web server for comparative genome analysis, developing Python-based tools and code for retrieval and processing of publicly available genomic data
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expected to learn basic R or python to generate plots and analyze data. Qualifications Requirements for employment are: You have deep knowledge of immunology including autoimmunity You have experience
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. Main tasks Study the existing Matlab code and understand the underlying MCR-ALS workflow Translate and implement the method in Python in a way that is compatible with SasView Investigate how the new
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Demonstrated experience in performing novel and cutting-edge experiments, with soft x-ray microscopy for magnetic materials and/or coherent techniques using X-rays Good Python programming skills, a working
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skills in Matlab and/or Python. Meritorious qualifications Experience in medical image analysis. Knowledge of or practical experience with generative models, anomaly detection, and image and signal
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analysis of images or volumes, e.g., in ImageJ, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. High motivation, ability to quickly
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management plans. Experience of NextFlow or Python is essential. The role will involve collaboration with both academics and healthcare professionals and issues of data security are therefore paramount
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of superconducting quantum devices require generating and acquiring microwave signals and efficiently processing the resulting data, typically using Radio Frequency System-on-Chip (RFSoC) platforms with Python-based