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dynamic processes using differential equations, integrals, probability functions, and applied statistics. Therefore, having experience using more than one of the following languages is crucial: Matlab
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of proteomics or multi-omics datasets, preferably in cancer research. ML applications for biomarker discovery and validation, and predictive modeling. Programming (Python, R, c++ and/or MATLAB) and handling large
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applications for biomarker discovery and validation, and predictive modeling. Programming (Python, R, c++ and/or MATLAB) and handling large-scale biological datasets. Analysis and statistical evaluation of mass
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MATLAB) and handling large-scale biological datasets. - Analysis and statistical evaluation of mass spectrometry-based proteomics data, and AI-assisted digital pathology. - Integrating molecular and