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machine learning assisted analyses of epigenetic markers to identify specific cellular subsets linked with disease progression and therapy response. Accordingly, a key aspect of your work will involve
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patients or cancer? Are you going to help us solve these questions? Recent advances in the analysis of big data allow efficient learning from datasets with many variables on a limited number of individuals
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salaris . Free and unlimited access to our online learning environment: GoodHabitz. Pension is accrued at the ABP. Amsterdam UMC contributes 70% of the premium. We reimburse 75% of your public transport
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, or are willing to learn R; You preferably have knowledge of longitudinal data analysis methods; You have good communication skills, both written and oral, in English; You are self-disciplined and can work in a
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or bioinformatics; You have experience in molecular biology, immunology and transcriptional regulation; You are willing to learn how to perform transcriptomic and genomic data analysis and bioinformatics; You have
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need to be developed. We are building a dynamic model based on data from serial liquid biopsies, tissue and imaging. Preliminary evidence suggest that machine learning-powered diagnostic tools based
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biology, immunology and transcriptional regulation; You are willing to learn how to perform transcriptomic and genomic data analysis and bioinformatics; You have excellent communication skills in English
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learning will be a plus; The ability to work independently, but can thrive in a multi-disciplinary academic environment and communicate fluently in English, verbally and in writing. Additional Information
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molecular biology, immunology and transcriptional regulation; You are willing to learn how to perform transcriptomic and genomic data analysis and bioinformatics; You have excellent communication skills in