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international conferences. The project will produce open-source software packages for Python and/or R, as well as user-friendly web applications aimed at practitioners across healthcare, finance, and industrial
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, particularly in Python and deep learning frameworks such as PyTorch or TensorFlow, with proficiency in managing complex model training pipelines. Strong analytical and problem-solving skills, with the ability
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experience with python programming for molecular simulation and cheminformatics. 5. Experience with version‑controlled GitHub repositories and Unix/Linux‑based high‑performance computing environments. 6
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computational workflows for large datasets Demonstrable experience in managing, deploying and documenting Python packages Downloading a copy of our Job Description Full details of the role and the skills
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the form of papers, posters or oral presentations Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow Downloading a copy of our Job Description Full details
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managing and converting between file formats Experience with spatial data analysis tools/platforms (e.g.: napari) Programming skills working with image data in Python Experience with metadata, data
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. Demonstrable experience in managing, deploying and documenting Python packages Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in
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formats (DICOM, NIfTI) and image preprocessing tools (e.g., MONAI, SimpleITK). Excellent programming skills, demonstrated through available code or projects, with proficiency in Python and deep learning
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, perinatal mental health, child health). High degree of competence in standard medical statistics and in using statistical software packages (e.g. R, Stata or Python). Experience working with large-scale