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, Computer Science or a related discipline, alongside a scientific background.* Strong programming skills using languages such as Python, R, Java, C/C++ or Perl.* Experience applying statistical methods
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field, or be in the final stages of PhD submission. Strong scientific programming skills in Python. Knowledge of mathematical models of biological systems and numerical methods for differential
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programming and scientific computing skills in Python (e.g. numpy, pandas, PyTorch and/or JAX). Experience analysing complex biological, imaging or spatial datasets, or strong evidence of rapidly adapting to
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epifluorescence or confocal microscopes* Basic proficiency in a programming language (Python, R, or MATLAB) to conduct quality control, process images, and handle preliminary data analysis* Demonstrated