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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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laboratory or technical equipment. 3. Basic proficiency in programming or scripting (e.g., Python, MATLAB, or similar) for data processing or device control. 4. Ability to set up, calibrate, and
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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 the Job
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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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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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experimental chemistry, providing a supportive research environment. Applicants should have a PhD in Chemistry or related field, and extensive experience in python programming and machine learning models
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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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, 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
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methodologies across MATLAB, Python, and/or R. Highly motivated and enthusiastic researcher with a strong and documented interdisciplinary interest in mental health Strong evidence of potential to build
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programming and computational analysis (e.g., Python, R). Expertise in neuroimaging (MRI, MEG, EEG) and/or genomics; strength in one area with willingness to develop in the other. Ability to contribute to data