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computational experts to conduct efficient analyses leading to discovery in mammalian neuron genome structure-function data. In parallel, trains to achieve mastery and excellence in running code written by other
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of Mechanical and Process Engineering, ETH Zurich). This interdisciplinary project investigates how the immune system responds to implanted materials, aiming to develop strategies that improve tissue integration
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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production
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parallel processing, distributed computing, and resource management techniques for efficient resource utilization. Resource Allocation: Oversee the allocation of computational resources, ensuring scalability
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such as computational complexity, algorithms, data structures, logic in computer science and AI, semantics, theory of programming, learning theory, parallel algorithms or quantum computing Research
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environment, regulatory obligations, and project requirements. This position operates in parallel with the existing IT, research, and administrative structures at participating institutions. It is designed
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contrast to current ASO strategies that are mostly variant/exon specific, this novel approach has the potential to treat large patient cohorts, independent of the causal variant. Overall, this project is
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-edge techniques with clinical sample analysis, develop novel animal models to conduct mechanistic studies with parallel patient sample analysis, and test preclinical innovative immunotherapy strategies
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tissue referred to the Department of Pathology from outside coroners, hospitals, or foundations. These would be logged in through the department and may be processed using individualized protocols. Work
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is focused on defining and understanding biological processes in Alzheimer’s disease and other neurodegenerative diseases. We analyze large datasets collected from patients and cognitively unimpaired