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numerical fluid mechanics, scientific computing, or model-order reduction, who is willing to engage in innovative and interdisciplinary research questions. The successful candidate will also have the
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groups pioneered human organoid models to study host-virus interactions, and ongoing work is expanding these systems to include microbial communities. The ultimate goal is to uncover mechanisms and
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researcher interested in conducting cutting-edge research on the molecular and neural circuit mechanisms underlying early-stage Alzheimer's disease and related neurodegenerative diseases. The laboratory
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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, USPTO, Pistachio). Understanding of organic synthesis and reaction mechanisms. Publication record demonstrating expertise in AI and computational chemistry. Excellent problem-solving skills and the
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research program of the laboratory. Participates in the study of small molecule mechanism of action. Performs highly skilled techniques in investigating the design of novel computational approaches to drug
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support projects using GWAS, Mendelian Randomisation, and polygenic risk score analysis to uncover genetic mechanisms underlying complex traits. There are opportunities to integrate omics data across
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work on include: Design and synthesize novel inorganic electrode/electrolyte materials, and search into the fundamental reaction mechanisms and kinetics involved. Investigate thermodynamics-electrode
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of the project team. Key Skills & Experiences This project will require previous expertise in computational mechanics (preferably finite element methods – with analysis being undertaken in open-source code MoFEM
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several projects in the centre including the MAGICA project ( https://magica-project.eu/), a landmark initiative funded under EU Horizon programme. The MAGICA project aims to accelerate the development