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of opportunity), and integrating these definitions into model optimization and evaluation processes (hereby acknowledging the complications of algorithmic notions of fairness); (iv) AI alignment : developing AI
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data, spanning from whole-genome variant calling and decision support to single-cell sequencing analysis. We develop and extend robust analysis workflows and reusable components, in close collaboration
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clinical development activities center around large and rare indications within the four major pillars of dementias, multiple sclerosis, movement disorders, neurodevelopmental and neuromuscular disorders
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solutions. Job description As an integral part of the specialized resource pool, you will be managing multiple space research projects at ETH Zurich. Together with internal and external stakeholders
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of Medical Microbiology at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast
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at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast data analysis. In
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, despite their shared underlying mechanisms. A promising direction for AI in healthcare is the seamless integration of clinical image-based foundation models that can be fine-tuned across multiple use cases
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at the intersection of research and engineering, taking early-stage ideas, prototypes, and emerging solutions, and turning them into reusable systems ready for real-world deployment. This includes aligning
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expression studies (“bulk" and single-cell RNA-seq) and gene regulation studies (ChIP-seq, ATAC-seq, DNA variants calling), long reads sequencing, proteomics and spatial transcriptomics Set up robust and
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services. Job description This doctoral project will form an important cornerstone in the mosaic of the entire project with specific tasks and in alignment with the other PhenoMix doctoral students and