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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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for a motivated Senior Research Assistant with expertise and knowledge in cancer immunotherapy and genetic engineering of (immune) cells. Join our exciting CAR-NK therapy program and translational
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bioinformatics with: Proven affinity for cancer and/or immunology research; Experience with genomic analysis from high-throughput sequencing data (R, Phython,Matlab) and affinity with statistics and machine
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, and Data Science (including a grasp of Machine Learning). A background in Biology is an asset, but not a prerequisite. In your research, you work with various biodiversity monitoring systems, including
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Strong communication skills, with proficiency in English Programming skills in Python programming and Python ecosystem for machine learning / deep learning Experience in working with Natural
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(WOFOST, DSSAT); Proven skills with scripting and programming (e.g. Python, R, GIS); Ability or willingness to learn about AI/ machine learning; Experience with the visualisation of results to facilitate