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Field
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machine-learning, predictive-modelling or multivariate methods to behavioural and/or EEG data. Proficiency in R, MATLAB and Python. What we can offer In return we offer a generous pension, relocation
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of multiplex cytometry data analysis programs including OMIQ Experience in statistical programming with R and/or Python. Knowledge of R/Python spatial transcriptomics data analysis packages such as Seurat/Giotto
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pipelines in R, Python and HPC or cloud environments. Collaborate with developmental biologists to interpret genomic findings, validate results and address key evolutionary questions. Support and mentor PhD
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and experience in one or more open-source languages (e.g. Python, R). Prior experience/knowledge of computational psychiatry methods for modelling cognitive tasks. Experience in the use of neuroimaging
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skills (e.g., Python) implementing computational analytical pipelines and familiarity with machine-learning frameworks are required. The post is full-time 35 hours per week, 1.0 FTE and fixed term for 19
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, exomes). Demonstrated experience as an expert level user of HPC infrastructure / Linux systems. Demonstrated experience implementing key R and / or Python packages. Track record of publications
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, computer science, physics, data science or a closely related discipline. • Experience in MRI image analysis and scientific programming, preferably using Python and modern computational libraries. • Experience
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scientific programming (e.g. Python, MATLAB, C/C++) is highly desirable, as is a strong publication record and the ability to communicate research effectively within an international collaboration. How
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, proof of previous data
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scientific programming (e.g. Python, MATLAB, C/C++) is highly desirable, as is a strong publication record and the ability to communicate research effectively within an international collaboration. How