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skills and experience: Essential criteria 1. PhD in chemistry, physics, biology, engineering or related areas 2. Demonstrable Python programming skills. Familiarity with packages such as pandas
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environment and / or publication in relevant and refereed journals Proficiency in Python, R, MATLAB, Julia, or another relevant language Self-motivated, ability to work independently, as well as willing and
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social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming proficiency in R or Python and version control systems like Git
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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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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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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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programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently
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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