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programming skills in Python (experience with MATLAB or R is a plus). Proven experience with deep learning and machine learning frameworks (e.g., TensorFlow, PyTorch). Background in computational modeling
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to political science bachelor and master students; excellent command of quantitative research methods, skills to analyze quantitative data sets in R etc.; excellent oral and written communication skills in
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are - Bioinformatics analysis 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
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blot, PAGE, RT-qPCR, RNA immunoprecipitation, etc.) Prior experience working with RNA structure and NGS, as well as experience in bioinformatics and data analysis (i.e. R, Python, Perl) is a significant
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committee. You have a pipeline of thematically relevant publications in high-impact international journals. You have experience working with relevant software for quantitative data analysis (R, SPSS and/or