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. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed
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. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed
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. Chemoproteomics of drug toxicity and efficacy You will use chemoproteomic approaches to characterize target engagement, selectivity and phenotype mechanisms directly in primary human cells and employ machine
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cells and employ machine learning methods for data analysis. This includes activity-based profiling, global- and phosphoproteomics and phenotype deconvolution for drugs causing liver toxicity. The project
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interdisciplinary cohort of doctoral researchers and benefit from ReDiLEEP training in response diversity methods, data management, reproducible code, R/Tidyverse, machine learning and AI for ecologists