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(e.g., R and Python). Meritorious will be considered experience in Microscopy-based imaging, Immunohistochemistry, and cell culture differentiation protocols. You are a curiosity-drive person, fascinated
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biomedical data types Machine-learning and statistical modelling Mechanistic models of biological systems Python, R or equivalent programming environment Documented knowledge and experience in cancer biology
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of large-scale biological datasets will be considered a strong advantage. Experience with CRISPR-based approaches or statistical programming in R or Python is desirable but not required. The application
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functional neuroimaging (fMRI) or non-invasive brain stimulation (for example TMS or tES). You have good programming and data-analysis skills (for example Python, MATLAB or R), good statistical knowledge, and
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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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applied perspectives. Strong programming skills in R, MATLAB, and Python are highly desirable. The successful candidate is expected to be fluent in English and open to both national and international