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most of the following: cell culture, flow cytometry, molecular cloning, confocal microscopy, animal models of inflammatory diseases and bioinformatics (experience in R/Python and Linux to undertake
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. Physical Review Research, 2, 043217, 2020). You will use our mature simulation code to carry out simulations. Knowledge of a python framework for machine learning is essential (e.g. TensorFlow), as is
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experience in handling and analysing large-scale datasets (neuroimaging, genomics, or both). Proficiency in programming and computational analysis (e.g., Python, R). Expertise in neuroimaging (MRI, MEG, EEG
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Science, Medicine). Programming skills (Matlab, Python) are necessary and experience with brain imaging, EEG, interventional approaches, computational modeling are highly desirable. Above all, they will demonstrate
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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
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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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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
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strong potential o Proficiency in Python and/or R programming languages o Experience working in high-performance computing (HPC) environments o Command line proficiency and BASH scripting
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the relevant literature, and are proficient in Python and common ML frameworks. What you will do You will design and evaluate learning-based methods for navigation and perception, develop and analyse