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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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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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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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workflow in appropriate coding languages e.g. Python High level proficiency in English and Arabic, ideally including one or more Levantine Arabic dialects A strong background of knowledge of speech
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and active‑heating rigs; Strong programming skills (Python/Matlab and/or FEM packages); Publication record appropriate to career stage; Excellent teamwork, project‑management and communication skills
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managing and working with complex, high-dimensional datasets, ideally in the life sciences, and should be comfortable using open-source data management and analysis tools (e.g., R, Python, SQL, or similar
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delivery of RNA or DNA to cultured cells, CRISPR-Cas genome editing. Some knowledge of a programming language such as R or Python would be valuable. Applicants will work under the practical supervision of a