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) to large-scale biomedical datasets. These models will be used to work with different types of data from the healthcare and biological domains, including genomic profiles, and clinical event sequences
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Genomics and single-cell Genomics Sequencing platforms. The successful candidate will take on the following responsibilities: conduct CRISPR-based functional screening using patient-derived cancer tumoroids
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biomedical engineers, sharing their expertise to work at the border of these multiple disciplines. The position will be in the Multifunctional Neural Interfaces Research Unit is coordinated by Prof. Ferruccio
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chemical properties of defected WS2 via multiple experimental techniques (examples are – but not limited to – scanning tunneling microscopy, angle resolved photoemission spectroscopy, Raman spectroscopy, X
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microbial DNA/RNA 16S and ITS sequencing analyses. The PhD will be collaborating closely to the other PhD student hired within FutureForests, focusing on biogeochemical and ecophysiological processes. The PhD
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with materials scientists, you will align biological readouts with the physicochemical descriptors of advanced materials. The role includes maintaining cellular models (cancer/healthy/immune) and
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researcher in algorithmic game theory and/or online learning, working with Prof. Celli at BIDSA and the Department of Computing Sciences. The project studies how multiple machine learning algorithms interact
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and phenotype. Targeted Quantification of Bioactives: Developing and validating highly sensitive targeted quantitative assays (e.g., using Multiple Reaction Monitoring, MRM, or Parallel Reaction