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Field
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Do you want to combine high-throughput directed evolution with machine-learning analysis of deep sequencing data to engineer better antibodies? The Sormanni Lab in the Department of Chemical
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hUPF1 proteins in different cancer cells. Establish and perform FRET assays to map, track, and quantify real-time protein-protein interactions (e.g., hUPF1-hUPF2 complexes) and monitor disruption by hits
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software that allow time-evolving models of complex systems to be calibrated against sparse, indirect, and uncertain observations. The group develops and maintains an open-source Python framework
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of enhancing and developing research competencies. Participates in planning, designing and conducting highly technical and complex research projects under the direction of a supervisor. May or may not work
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approaches, with a particular emphasis on imaging mass cytometry and transcriptomic analysis of human brain tissue. We are seeking a highly motivated and intellectually curious scientist who is passionate
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of LLMs to accelerators, specifically, use of agentic AI to support intelligent system analysis, aid operator decision-making, automate complex workflows, and enable more adaptive approaches to machine
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biomarkers of respiratory and systemic health. Responsibilities include analyzing complex datasets; preparing scientific manuscripts, presentations, and reports; contributing to the development of competitive
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Researcher in Multimodal Human Sensing and Advanced Behavioral Data Analysis Mission
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from complex and heterogeneous waste streams. High-quality recycling increasingly depends on advanced sensing technologies that can accurately characterise scrap properties and identify alloy types
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identification, gene cluster family classification, and functional prediction, to work with highly fragmented and complex eDNA datasets. This project is part of the larger European AEGIS consortium, bringing